5880 search results - page 398 / 1176 » Data Clustering: A Review |
192
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ISBI
2008
IEEE
16 years 7 months ago
2008
IEEE
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
205
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DAWAK
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
213
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PKDD
2000
Springer
15 years 10 months ago
2000
Springer
Abstract. A new constrained model is discussed as a way of incorporating efficiently a priori expert knowledge into a clustering problem of a given individual set. The first innova...
184
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NIPS
2007
15 years 8 months ago
2007
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
197
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PAMI
2006
15 years 6 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...