31 search results - page 1 / 7 » Dimensionality Reduction via Genetic Value Clustering |
GECCO
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
PAMI
2006
13 years 4 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
IS
2008
13 years 4 months ago
2008
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
ICCS
2005
Springer
13 years 10 months ago
2005
Springer
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...