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141
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TKDE
2010
15 years 2 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
130
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DAWAK
2003
Springer
15 years 9 months ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
108
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ALT
2008
Springer
16 years 1 months ago
2008
Springer
In this paper, we initiate a theoretical study of the problem of clustering data under interactive feedback. We introduce a query-based model in which users can provide feedback to...
132
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We present an online adaptive clustering algorithm in a decision tree framework which has an adaptive tree and a code formation layer. The code formation layer stores the represen...
124
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CIMCA
2005
IEEE
15 years 9 months ago
2005
IEEE
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...