148 search results - page 14 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
AP2PC
2003
Springer
15 years 5 months ago
2003
Springer
This paper examines the decentralized formation of groups within a peer-to-peer multi-agent system. More specifically, it frames group formation as a clustering problem, and exami...
105
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PRIB
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
104
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TKDE
2010
14 years 10 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
146
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KDD
2008
ACM
16 years 23 days ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
116
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ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...