766 search results - page 33 / 154 » Clustering high dimensional data using subspace and projecte... |
259
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ICDE
2009
IEEE
16 years 7 months ago
2009
IEEE
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
139
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KDD
2006
ACM
16 years 5 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
135
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ICPR
2008
IEEE
16 years 6 months ago
2008
IEEE
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
156
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CBMS
2005
IEEE
15 years 7 months ago
2005
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
138
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MMM
2005
Springer
15 years 11 months ago
2005
Springer
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). However, since users are usually unwillin...