Modern Algorithms Of Cluster Analysis
DOWNLOAD eBooks
Download Modern Algorithms Of Cluster Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modern Algorithms Of Cluster Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Modern Algorithms Of Cluster Analysis
DOWNLOAD eBooks
Author : Slawomir Wierzchoń
language : en
Publisher: Springer
Release Date : 2017-12-29
Modern Algorithms Of Cluster Analysis written by Slawomir Wierzchoń and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-29 with Technology & Engineering categories.
This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc. The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and characteristics of the data, it is no longer feasible to predominantly rely on merely viewing the data when facing a clustering problem. Usually clustering involves choosing similar objects and grouping them together. To facilitate the choice of similarity measures for complex and big data, various measures of object similarity, based on quantitative (like numerical measurement results) and qualitative features (like text), as well as combinations of the two, are described, as well as graph-based similarity measures for (hyper) linked objects and measures for multilayered graphs. Numerous variants demonstrating how such similarity measures can be exploited when defining clustering cost functions are also presented. In addition, the book provides an overview of approaches to handling large collections of objects in a reasonable time. In particular, it addresses grid-based methods, sampling methods, parallelization via Map-Reduce, usage of tree-structures, random projections and various heuristic approaches, especially those used for community detection.
Handbook Of Cluster Analysis
DOWNLOAD eBooks
Author : Christian Hennig
language : en
Publisher: CRC Press
Release Date : 2015-12-16
Handbook Of Cluster Analysis written by Christian Hennig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-16 with Business & Economics categories.
Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The
Algorithms For Clustering Data
DOWNLOAD eBooks
Author : Anil K. Jain
language : en
Publisher:
Release Date : 1988
Algorithms For Clustering Data written by Anil K. Jain and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Computers categories.
Data Clustering Theory Algorithms And Applications Second Edition
DOWNLOAD eBooks
Author : Guojun Gan
language : en
Publisher: SIAM
Release Date : 2020-11-10
Data Clustering Theory Algorithms And Applications Second Edition written by Guojun Gan and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-10 with Mathematics categories.
Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.
Data Clustering
DOWNLOAD eBooks
Author : Charu C. Aggarwal
language : en
Publisher: CRC Press
Release Date : 2013-08-21
Data Clustering written by Charu C. Aggarwal and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-21 with Business & Economics categories.
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.
Clustering
DOWNLOAD eBooks
Author : Rui Xu
language : en
Publisher: John Wiley & Sons
Release Date : 2008-11-03
Clustering written by Rui Xu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-03 with Mathematics categories.
This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
Cluster Analysis
DOWNLOAD eBooks
Author : Brian S. Everitt
language : en
Publisher: Taylor & Francis
Release Date : 2001
Cluster Analysis written by Brian S. Everitt and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Cluster analysis comprises a range of methods of classifying multivariate data into subgroups and these techniques are widely applicable. This new edition incorporates material covering developing areas such as Bayesian statistics & neural networks.
Cluster Analysis Algorithms For Data Reduction And Classification Of Objects
DOWNLOAD eBooks
Author : Helmuth Späth
language : en
Publisher: Ellis Horwood
Release Date : 1980
Cluster Analysis Algorithms For Data Reduction And Classification Of Objects written by Helmuth Späth and has been published by Ellis Horwood this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Mathematics categories.
Clustering And Classification
DOWNLOAD eBooks
Author : Phipps Arabie
language : en
Publisher: World Scientific
Release Date : 1996
Clustering And Classification written by Phipps Arabie and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Mathematics categories.
At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review of the Japanese-language results on clustering, review of the Russian-language results on clustering and multidimensional scaling, practical advances, and significance tests.
Algorithms Of Cluster Analysis
DOWNLOAD eBooks
Author : Sławomir Tadeusz Wierzchoń
language : en
Publisher:
Release Date : 2015
Algorithms Of Cluster Analysis written by Sławomir Tadeusz Wierzchoń and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.