148 search results - page 16 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
141
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ESANN
2006
15 years 1 months ago
2006
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
101
Voted
IDEAL
2000
Springer
15 years 4 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
108
Voted
MLDM
2005
Springer
15 years 5 months ago
2005
Springer
In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
117
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ICML
2003
IEEE
15 years 5 months ago
2003
IEEE
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...