117 search results - page 24 / 24 » Dimension Reduction for Supervised Ordering |
KDD
2000
ACM
13 years 9 months ago
2000
ACM
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
AAAI
2006
13 years 7 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...