4085 search results - page 666 / 817 » Benchmarking Data Mining Algorithms |
182
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SDM
2009
SIAM
16 years 4 months ago
2009
SIAM
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
165
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KAIS
2006
15 years 6 months ago
2006
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
178
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MICCAI
2009
Springer
16 years 8 months ago
2009
Springer
Abstract. Brain imaging provides a wealth of information that computers can explore at a massive scale. Categorizing the patterns of the human cortex has been a challenging issue f...
177
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SDM
2009
SIAM
16 years 4 months ago
2009
SIAM
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
164
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ISNN
2004
Springer
16 years 6 days ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...