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229
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DAGSTUHL
2009
15 years 7 months ago
2009
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
166
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ESANN
2006
15 years 8 months ago
2006
In this study, a method for hierarchical examination and visualization of GSM data using the Self-Organizing Map (SOM) is described. The data is examined in few phases. At first te...
169
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ICTAI
2006
IEEE
16 years 21 days ago
2006
IEEE
We propose two Euclidean minimum spanning tree based clustering algorithms — one a k-constrained, and the other an unconstrained algorithm. Our k-constrained clustering algorith...
202
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SIGMOD
2000
ACM
15 years 11 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
193
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MCS
2005
Springer
16 years 5 days ago
2005
Springer
Abstract. In this paper, we propose a cluster-based cumulative representation for cluster ensembles. Cluster labels are mapped to incrementally accumulated clusters, and a matching...