1775 search results - page 156 / 355 » Learning Spectral Clustering |
SAC
2005
ACM
15 years 7 months ago
2005
ACM
When a partitional structure is derived from a data set using a data mining algorithm, it is not unusual to have a different set of outcomes when it runs with a different order of...
AUSDM
2006
Springer
15 years 5 months ago
2006
Springer
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of co...
141
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ICANN
2009
Springer
14 years 11 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
114
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ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...