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» A clustering method that uses lossy aggregation of data
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WCE
2007
13 years 9 months ago
Novel Auxiliary Techniques in Clustering
— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
Mohammad Taheri, Reza Boostani
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 1 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
ICDM
2006
IEEE
127views Data Mining» more  ICDM 2006»
14 years 1 months ago
The Relationships Among Various Nonnegative Matrix Factorization Methods for Clustering
The nonnegative matrix factorization (NMF) has been shown recently to be useful for clustering. Various extensions of NMF have also been proposed. In this paper we present an over...
Tao Li, Chris H. Q. Ding
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 9 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal