180 search results - page 9 / 36 » Generalized Projected Clustering in High-Dimensional Data St... |
KDD
2003
ACM
15 years 12 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
ICML
2004
IEEE
16 years 12 days ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
JCP
2008
14 years 11 months ago
2008
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
118
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CIBCB
2006
IEEE
15 years 5 months ago
2006
IEEE
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
117
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WISE
2002
Springer
15 years 4 months ago
2002
Springer
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...