148 search results - page 7 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
115
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
101
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NIPS
2004
15 years 1 months ago
2004
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
101
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WSOM
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. This paper is devoted to the analysis of career paths and employability. The state-of-the-art on this topic is rather poor in methodologies. Some authors propose distance...
92
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ECML
2001
Springer
15 years 4 months ago
2001
Springer
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
125
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COMAD
2009
15 years 1 months ago
2009
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...