298 search results - page 14 / 60 » Subspace Clustering of High Dimensional Data |
111
Voted
IDA
1999
Springer
15 years 4 months ago
1999
Springer
Grand tour is a method for viewing multidimensional data via linear projections onto a sequence of two dimensional subspaces and then moving continuously from one projection to the...
127
Voted
VLDB
2000
ACM
15 years 4 months ago
2000
ACM
Many emerging application domains require database systems to support efficient access over highly multidimensional datasets. The current state-of-the-art technique to indexing hi...
116
Voted
BMCBI
2007
15 years 13 days ago
2007
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
115
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BMEI
2008
IEEE
15 years 2 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
15 years 6 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...