Kniha Automatic Subspace Clustering Jiwu Zhao

Automatic Subspace Clustering

for High-Dimensional Data

Autor: Jiwu Zhao
Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 8-11 dní
51.81
Clustering is an important task of data mining. The traditional clustering approaches are designed f...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2014
Stránok
144
EAN
9783838138305
ISBN
3838138309
Enbook ID
07165652
Hmotnosť
222
Rozmery
152 x 229 x 9

Kompletný 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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