4526 search results - page 310 / 906 » An overview of clustering methods |
197
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ALMOB
2006
15 years 6 months ago
2006
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
202
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TCSV
2008
15 years 6 months ago
2008
This paper presents a bottom-up approach that combines audio and video to simultaneously locate individual speakers in the video (2-D source localization) and segment their speech ...
198
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
165
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PAKDD
2009
ACM
16 years 1 months ago
2009
ACM
Abstract. Clustering high dimensional data with sparse features is challenging because pairwise distances between data items are not informative in high dimensional space. To addre...
188
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IDA
1999
Springer
15 years 11 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...