Automatic Subspace Clustering

Name: Automatic Subspace Clustering
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
SKU: 9783838138305
Price: 1180 CZK
Availability: InStock

for High-Dimensional Data

Autor: Jiwu Zhao

Jazyk:

Vazba: Brožovaná

Vydavatel: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 dnů

1 180 Kč

Clustering is an important task of data mining. The traditional clustering approaches are designed f...

Informace o knize

Autor

Jiwu Zhao

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2014

Stránek

144

EAN

9783838138305

ISBN

3838138309

Enbook ID

07165652

Vydavatel

Sudwestdeutscher Verlag Fur Hochschulschriften AG

Hmotnost

222

Rozměry

152 x 229 x 9

Kompletní popis

Clustering is an important task of data mining. The traditional clustering approaches are designed for searching clusters in the entire space. However, there are usually many irrelevant attributes for clustering in high-dimensional data sets, where the traditional clustering methods often work improperly. Subspace clustering is an extension of traditional clustering that enables finding subspace clusters only in relevant dimensions within a data set. Most subspace clustering methods usually suffer from the issue that their complicated parameter settings are almost troublesome to be determined, and therefore it can be difficult to implement these methods in practical applications. In this book, we introduce two novel subspace clustering methods SUGRA and ASCDD. Both of them are designed with the principle of uncomplicated parameter setting and easy applicability.

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Automatic Subspace Clustering

for High-Dimensional Data

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také