5046 search results - page 82 / 1010 » Non-redundant data clustering |
153
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AUSDM
2007
Springer
16 years 15 days ago
2007
Springer
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
151
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ICDM
2009
IEEE
16 years 1 months ago
2009
IEEE
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
162
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CEC
2005
IEEE
15 years 12 months ago
2005
IEEE
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
370
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ICDE
1999
IEEE
16 years 7 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
169
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...