Correlation Clustering

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Correlation Clustering

Author : Bonchi Francesco,García-Soriano David,Gullo Francesco
Publisher : Springer Nature
Page : 133 pages
File Size : 51,9 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031792106

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Correlation Clustering by Bonchi Francesco,García-Soriano David,Gullo Francesco Pdf

Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.

Constrained Clustering

Author : Sugato Basu,Ian Davidson,Kiri Wagstaff
Publisher : CRC Press
Page : 472 pages
File Size : 54,7 Mb
Release : 2008-08-18
Category : Computers
ISBN : 1584889977

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Constrained Clustering by Sugato Basu,Ian Davidson,Kiri Wagstaff Pdf

Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and Applications presents an extensive collection of the latest innovations in clustering data analysis methods that use background knowledge encoded as constraints. Algorithms The first five chapters of this volume investigate advances in the use of instance-level, pairwise constraints for partitional and hierarchical clustering. The book then explores other types of constraints for clustering, including cluster size balancing, minimum cluster size,and cluster-level relational constraints. Theory It also describes variations of the traditional clustering under constraints problem as well as approximation algorithms with helpful performance guarantees. Applications The book ends by applying clustering with constraints to relational data, privacy-preserving data publishing, and video surveillance data. It discusses an interactive visual clustering approach, a distance metric learning approach, existential constraints, and automatically generated constraints. With contributions from industrial researchers and leading academic experts who pioneered the field, this volume delivers thorough coverage of the capabilities and limitations of constrained clustering methods as well as introduces new types of constraints and clustering algorithms.

Clustering: Theoretical And Practical Aspects

Author : Dan A Simovici
Publisher : World Scientific
Page : 882 pages
File Size : 55,7 Mb
Release : 2021-08-03
Category : Computers
ISBN : 9789811241215

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Clustering: Theoretical And Practical Aspects by Dan A Simovici Pdf

This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.

Machine Learning and Knowledge Discovery in Databases. Research Track

Author : Nuria Oliver,Fernando Pérez-Cruz,Stefan Kramer,Jesse Read,Jose A. Lozano
Publisher : Springer Nature
Page : 817 pages
File Size : 49,7 Mb
Release : 2021-09-09
Category : Computers
ISBN : 9783030865207

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Machine Learning and Knowledge Discovery in Databases. Research Track by Nuria Oliver,Fernando Pérez-Cruz,Stefan Kramer,Jesse Read,Jose A. Lozano Pdf

The multi-volume set LNAI 12975 until 12979 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2021, which was held during September 13-17, 2021. The conference was originally planned to take place in Bilbao, Spain, but changed to an online event due to the COVID-19 pandemic. The 210 full papers presented in these proceedings were carefully reviewed and selected from a total of 869 submissions. The volumes are organized in topical sections as follows: Research Track: Part I: Online learning; reinforcement learning; time series, streams, and sequence models; transfer and multi-task learning; semi-supervised and few-shot learning; learning algorithms and applications. Part II: Generative models; algorithms and learning theory; graphs and networks; interpretation, explainability, transparency, safety. Part III: Generative models; search and optimization; supervised learning; text mining and natural language processing; image processing, computer vision and visual analytics. Applied Data Science Track: Part IV: Anomaly detection and malware; spatio-temporal data; e-commerce and finance; healthcare and medical applications (including Covid); mobility and transportation. Part V: Automating machine learning, optimization, and feature engineering; machine learning based simulations and knowledge discovery; recommender systems and behavior modeling; natural language processing; remote sensing, image and video processing; social media.

Data Clustering

Author : Charu C. Aggarwal,Chandan K. Reddy
Publisher : CRC Press
Page : 654 pages
File Size : 44,8 Mb
Release : 2018-09-03
Category : Business & Economics
ISBN : 9781315360416

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Data Clustering by Charu C. Aggarwal,Chandan K. Reddy Pdf

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.

Algorithms - ESA 2003

Author : Giuseppe Di Battista,Uri Zwick
Publisher : Springer
Page : 790 pages
File Size : 41,5 Mb
Release : 2003-10-02
Category : Computers
ISBN : 9783540396581

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Algorithms - ESA 2003 by Giuseppe Di Battista,Uri Zwick Pdf

This book constitutes the refereed proceedings of the 11th Annual European Symposium on Algorithms, ESA 2003, held in Budapest, Hungary, in September 2003. The 66 revised full papers presented were carefully reviewed and selected from 165 submissions. The scope of the papers spans the entire range of algorithmics from design and mathematical analysis issues to real-world applications, engineering, and experimental analysis of algorithms.

Advances in Visual Computing

Author : Richard Boyle,Bahram Parvin,Darko Koracin,Ronald Chung,Hammoud,Muhammad Hussain,Kar-Han Tan,Roger Crawfis,Daniel Thalmann,David Kao,Lisa Avila
Publisher : Springer
Page : 650 pages
File Size : 50,9 Mb
Release : 2010-11-19
Category : Computers
ISBN : 9783642172779

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Advances in Visual Computing by Richard Boyle,Bahram Parvin,Darko Koracin,Ronald Chung,Hammoud,Muhammad Hussain,Kar-Han Tan,Roger Crawfis,Daniel Thalmann,David Kao,Lisa Avila Pdf

It is with great pleasure that we present the proceedings of the 6th Inter- tional, Symposium on Visual Computing (ISVC 2010), which was held in Las Vegas, Nevada. ISVC provides a common umbrella for the four main areas of visual computing including vision, graphics, visualization, and virtual reality. The goal is to provide a forum for researchers, scientists, engineers, and pr- titioners throughout the world to present their latest research ?ndings, ideas, developments, and applications in the broader area of visual computing. This year, the program consisted of 14 oral sessions, one poster session, 7 special tracks, and 6 keynote presentations. The response to the call for papers was very good; we received over 300 submissions for the main symposium from which we accepted 93 papers for oral presentation and 73 papers for poster p- sentation. Special track papers were solicited separately through the Organizing and Program Committees of each track. A total of 44 papers were accepted for oral presentation and 6 papers for poster presentation in the special tracks.

Clustering High--Dimensional Data

Author : Francesco Masulli,Alfredo Petrosino,Stefano Rovetta
Publisher : Springer
Page : 149 pages
File Size : 52,6 Mb
Release : 2015-11-24
Category : Computers
ISBN : 9783662485774

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Clustering High--Dimensional Data by Francesco Masulli,Alfredo Petrosino,Stefano Rovetta Pdf

This book constitutes the proceedings of the International Workshop on Clustering High-Dimensional Data, CHDD 2012, held in Naples, Italy, in May 2012. The 9 papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the general subject and issues of high-dimensional data clustering; present examples of techniques used to find and investigate clusters in high dimensionality; and the most common approach to tackle dimensionality problems, namely, dimensionality reduction and its application in clustering.

Correlation Clustering

Author : Francesco Bonchi,David García-Soriano,Francesco Gullo
Publisher : Morgan & Claypool Publishers
Page : 149 pages
File Size : 55,6 Mb
Release : 2022-03-08
Category : Computers
ISBN : 9781636393247

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Correlation Clustering by Francesco Bonchi,David García-Soriano,Francesco Gullo Pdf

Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.

Partitional Clustering Algorithms

Author : M. Emre Celebi
Publisher : Springer
Page : 415 pages
File Size : 43,6 Mb
Release : 2014-11-07
Category : Technology & Engineering
ISBN : 9783319092591

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Partitional Clustering Algorithms by M. Emre Celebi Pdf

This book focuses on partitional clustering algorithms, which are commonly used in engineering and computer scientific applications. The goal of this volume is to summarize the state-of-the-art in partitional clustering. The book includes such topics as center-based clustering, competitive learning clustering and density-based clustering. Each chapter is contributed by a leading expert in the field.

Proceedings of the Seventh SIAM International Conference on Data Mining

Author : Chid Apte,Bing Liu,Srinivasan Parthasarathy
Publisher : Proceedings in Applied Mathema
Page : 674 pages
File Size : 44,8 Mb
Release : 2007
Category : Computers
ISBN : UCSD:31822034731067

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Proceedings of the Seventh SIAM International Conference on Data Mining by Chid Apte,Bing Liu,Srinivasan Parthasarathy Pdf

The Seventh SIAM International Conference on Data Mining (SDM 2007) continues a series of conferences whose focus is the theory and application of data mining to complex datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our abilities to analyze them because they are large and often noisy. Sophisticated, highperformance, and principled analysis techniques and algorithms, based on sound statistical foundations, are required. Visualization is often critically important; tuning for performance is a significant challenge; and the appropriate levels of abstraction to allow end-users to exploit sophisticated techniques and understand clearly both the constraints and interpretation of results are still something of an open question.

Text, Speech and Dialogue

Author : Petr Sojka,Ivan Kopecek,Karel Pala
Publisher : Springer
Page : 721 pages
File Size : 54,6 Mb
Release : 2006-09-08
Category : Computers
ISBN : 9783540390916

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Text, Speech and Dialogue by Petr Sojka,Ivan Kopecek,Karel Pala Pdf

Here are the refereed proceedings of the 9th International Conference on Text, Speech and Dialogue, TSD 2006. The book presents 87 revised full papers together with 2 invited papers reviewing state-of-the-art research in the field of natural language processing. Coverage ranges from theoretical and methodological issues to applications with special focus on corpora, texts and transcription, speech analysis, recognition and synthesis, as well as their intertwining within NL dialogue systems.

Computational Intelligence in Security for Information Systems

Author : Álvaro Herrero,Emilio Corchado
Publisher : Springer Science & Business Media
Page : 324 pages
File Size : 51,9 Mb
Release : 2011-05-30
Category : Business & Economics
ISBN : 9783642213229

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Computational Intelligence in Security for Information Systems by Álvaro Herrero,Emilio Corchado Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2011, held in Torremolinos-Málaga, in June 2011 as a satellite event of IWANN 2011, the International Work-Conference on Artificial and Natural Neural Networks. The 38 revised full papers presented were carefully reviewed and selected from a total of 70 submissions. The papers are organized in topical sections on machine learning and intelligence, network security, cryptography, securing software, and applications of intelligent methods for security.

Algorithms and Complexity

Author : Vangelis Th. Paschos,Peter Widmayer
Publisher : Springer
Page : 430 pages
File Size : 53,5 Mb
Release : 2015-05-15
Category : Computers
ISBN : 9783319181738

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Algorithms and Complexity by Vangelis Th. Paschos,Peter Widmayer Pdf

This book constitutes the refereed conference proceedings of the 9th International Conference on Algorithms and Complexity, CIAC 2015, held in Paris, France, in May 2015. The 30 revised full papers presented were carefully reviewed and selected from 93 submissions and are presented together with 2 invited papers. The papers present original research in the theory and applications of algorithms and computational complexity.

Issues in Biomedical Engineering Research and Application: 2011 Edition

Author : Anonim
Publisher : ScholarlyEditions
Page : 1453 pages
File Size : 42,6 Mb
Release : 2012-01-09
Category : Technology & Engineering
ISBN : 9781464964541

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Issues in Biomedical Engineering Research and Application: 2011 Edition by Anonim Pdf

Issues in Biomedical Engineering Research and Application: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Biomedical Engineering Research and Application. The editors have built Issues in Biomedical Engineering Research and Application: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Biomedical Engineering Research and Application in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Biomedical Engineering Research and Application: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.