Modern Algorithms of Cluster Analysis

Szerző: Slawomir Wierzchon, Mieczyslaw A. Klopotek

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

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This book provides the reader with a basic understanding of the formal concepts of the cluster, clus...

Információk a könyvről

Szerző

Slawomir Wierzchon, Mieczyslaw A. Klopotek

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2018

oldal

421

EAN

9783319693071

ISBN

3319693077

Enbook ID

18176112

Kiadó

Springer International Publishing AG

Súly

828

Méretek

155 x 235 x 30

Teljes leírás

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.

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Modern Algorithms of Cluster Analysis

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