5046 search results - page 45 / 1010 » Non-redundant data clustering |
136
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FLAIRS
2004
15 years 7 months ago
2004
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
163
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JMLR
2011
15 years 1 months ago
2011
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
160
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AAAI
2012
13 years 8 months ago
2012
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
168
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SNPD
2010
15 years 7 months ago
2010
Abstract--A method for explaining results of a regressionbased classifier is proposed. The data is clustered using a metric extracted from the classifier. This way, clusters found ...
155
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EUROSYS
2011
ACM
14 years 9 months ago
2011
ACM
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...