472 search results - page 9 / 95 » Clustering functional data with the SOM algorithm |
148
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DMKD
1997
ACM
15 years 3 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
125
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SDM
2011
SIAM
14 years 2 months ago
2011
SIAM
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
CSB
2005
IEEE
15 years 5 months ago
2005
IEEE
With hierarchical clustering methods, divisions or fusions, once made, are irrevocable. As a result, when two elements in a bottom-up algorithm are assigned to one cluster, they c...
KES
2008
Springer
14 years 11 months ago
2008
Springer
The validation of clusters discovered in bio-molecular data is a central issue in bioinformatics. Recently, stability-based methods have been successfully applied to the analysis o...