5046 search results - page 294 / 1010 » Non-redundant data clustering |
213
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
176
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
167
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CIBCB
2005
IEEE
16 years 11 days ago
2005
IEEE
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...
156
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ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
179
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ECAI
2010
Springer
15 years 7 months ago
2010
Springer
Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits the power of pair-wise similarities between data points ...