148 search results - page 3 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
CAINE
2008
14 years 11 months ago
2008
Data mining became increasingly important in bioinformatics and biomedical area during last decade. Various data mining methods, such as association rule mining and clustering, ha...
86
Voted
ISMIS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
87
Voted
CVPR
2008
IEEE
16 years 8 days ago
2008
IEEE
The goal of image categorization is to classify a collection of unlabeled images into a set of predefined classes to support semantic-level image retrieval. The distance measures ...
103
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NIPS
2008
14 years 11 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
99
Voted
CVPR
2007
IEEE
16 years 8 days ago
2007
IEEE
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...