524 search results - page 25 / 105 » On the Performance of Clustering in Hilbert Spaces |
112
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WWW
2008
ACM
14 years 10 months ago
2008
ACM
In this paper, we describe a document clustering method called noveltybased document clustering. This method clusters documents based on similarity and novelty. The method assigns...
110
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
The mean shift algorithm, which is a nonparametric density
estimator for detecting the modes of a distribution on a
Euclidean space, was recently extended to operate on analytic
...
SDM
2009
SIAM
15 years 7 months ago
2009
SIAM
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
SIGGRAPH
1995
ACM
15 years 1 months ago
1995
ACM
We developa clustereddithering methodthatusesstochasticscreening and is able to perform an adaptive variation of the cluster size. This makes it possible to achieve optimal rendit...
106
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WISE
2002
Springer
15 years 3 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...