Data Clustering

Algorithms and Applications

Business & Finance, Economics, Statistics, Nonfiction, Computers, Database Management, Science & Nature, Mathematics
Cover of the book Data Clustering by , CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781498785778
Publisher: CRC Press Publication: March 29, 2016
Imprint: Chapman and Hall/CRC Language: English
Author:
ISBN: 9781498785778
Publisher: CRC Press
Publication: March 29, 2016
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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.

More books from CRC Press

Cover of the book Guide to Home Improvement Costs by
Cover of the book Manufacturing and Enterprise by
Cover of the book Building Contract Claims and Disputes by
Cover of the book Muscles of Chordates by
Cover of the book Distributed Game Development by
Cover of the book Claims, Disputes and Litigation Involving BIM by
Cover of the book Data-Driven Analytics for the Geological Storage of CO2 by
Cover of the book Progress In Nonhistone Protein Research by
Cover of the book Social Value in Construction by
Cover of the book Strange Functions in Real Analysis by
Cover of the book Geomechanics and Water Engineering in Environmental Management by
Cover of the book How Well Do Executives Trust Their Intuition by
Cover of the book Enterprise Cloud Computing for Non-Engineers by
Cover of the book Connective Tissue in Health and Disease by
Cover of the book Chlorophyll Fluorescence by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy