484 search results - page 35 / 97 » Measuring the Quality of Approximated Clusterings |
113
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KDD
2007
ACM
16 years 2 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
129
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ICNC
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
126
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PPSN
2010
Springer
15 years 9 days ago
2010
Springer
The hypervolume indicator is widely used to guide the search and to evaluate the performance of evolutionary multi-objective optimization algorithms. It measures the volume of the ...
100
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
144
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SIGMOD
2003
ACM
16 years 2 months ago
2003
ACM
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...