5209 search results - page 286 / 1042 » Multiobjective Data Clustering |
127
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
129
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ECCV
2006
Springer
16 years 6 months ago
2006
Springer
Abstract. We consider the problem of clustering data into k 2 clusters given complex relations -- going beyond pairwise -- between the data points. The complex n-wise relations ar...
132
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PAKDD
2009
ACM
15 years 11 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...
145
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JCP
2007
15 years 4 months ago
2007
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
119
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...