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ICDM
2002
IEEE
14 years 16 days ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
ICDT
2001
ACM
14 years 1 days ago
2001
ACM
Abstract. Many data mining approaches focus on the discovery of similar (and frequent) data values in large data sets. We present an alternative, but complementary approach in whic...
INFOVIS
2005
IEEE
14 years 1 months ago
2005
IEEE
The discrete nature of categorical data makes it a particular challenge for visualization. Methods that work very well for continuous data are often hardly usable with categorical...
GLOBECOM
2009
IEEE
14 years 2 months ago
2009
IEEE
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
28
Voted
SBBD
2000
13 years 9 months ago
2000
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...