164 search results - page 5 / 33 » HD-Eye - Visual Clustering of High dimensional Data |
ICDM
2002
IEEE
14 years 17 days ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
BMEI
2008
IEEE
13 years 9 months ago
2008
IEEE
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
IDEAL
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...