Könyv Automatic Subspace Clustering Jiwu Zhao

Automatic Subspace Clustering

for High-Dimensional Data

Szerző: Jiwu Zhao
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 8-11 napon belül
20 057 Ft
Clustering is an important task of data mining. The traditional clustering approaches are designed f...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2014
oldal
144
EAN
9783838138305
ISBN
3838138309
Enbook ID
07165652
Súly
222
Méretek
152 x 229 x 9

Teljes leírás

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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