5046 search results - page 59 / 1010 » Non-redundant data clustering |
183
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DAGSTUHL
2007
15 years 7 months ago
2007
Abstract. Increasingly large multimedia databases in life sciences, ecommerce, or monitoring applications cannot be browsed manually, but require automatic knowledge discovery in d...
172
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MMAS
2010
Springer
15 years 29 days ago
2010
Springer
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
140
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KDD
2002
ACM
16 years 6 months ago
2002
ACM
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
174
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ISMIS
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. This paper centers on a novel data mining technique we term supervised clustering. Unlike traditional clustering, supervised clustering is applied to classified examples ...
169
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LREC
2008
2008
Division of Example Sentences Based on the Meaning of a Target Word Using Semi-Supervised Clustering
15 years 7 months ago
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....