4526 search results - page 311 / 906 » An overview of clustering methods |
204
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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 ...
179
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BIBE
2001
IEEE
15 years 10 months ago
2001
IEEE
DNA arrays can be used to measure the expression levels of thousands of genes simultaneously. Currently most research focuses on the interpretation of the meaning of the data. How...
199
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ANNPR
2008
Springer
15 years 8 months ago
2008
Springer
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
199
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CIVR
2008
Springer
15 years 8 months ago
2008
Springer
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
198
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NIPS
2004
15 years 8 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...