538 search results - page 37 / 108 » Dimension induced clustering |
168
Voted
ICMLA
2004
15 years 6 months ago
2004
This paper introduces a system, called PolyCluster, which adopts state-of-the-art algorithms for data visualization and integrates human domain knowledge into the construction pro...
103
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CSDA
2010
15 years 5 months ago
2010
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
195
Voted
MLDM
2010
Springer
15 years 3 days ago
2010
Springer
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
126
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PKDD
2005
Springer
15 years 10 months ago
2005
Springer
Bi-clustering is a promising conceptual clustering approach. Within categorical data, it provides a collection of (possibly overlapping) bi-clusters, i.e., linked clusters for both...
161
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CVPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...