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» A Supervised Clustering Method for Text Classification
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CVPR
2001
IEEE
14 years 10 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
CIKM
2005
Springer
14 years 1 months ago
Fast webpage classification using URL features
We demonstrate the usefulness of the uniform resource locator (URL) alone in performing web page classification. This approach is magnitudes faster than typical web page classific...
Min-Yen Kan, Hoang Oanh Nguyen Thi
ICONIP
2009
13 years 5 months ago
Text Mining with an Augmented Version of the Bisecting K-Means Algorithm
There is an ever increasing number of electronic documents available today and the task of organizing and categorizing this ever growing corpus of electronic documents has become t...
Yutaro Hatagami, Toshihiko Matsuka
ICML
2009
IEEE
14 years 8 months ago
Discriminative k-metrics
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
Arthur Szlam, Guillermo Sapiro
BMCBI
2007
178views more  BMCBI 2007»
13 years 7 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat