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» Clustering Categorical Data
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AAAI
1998
13 years 11 months ago
Feature Generation for Sequence Categorization
The problem of sequence categorization is to generalize from a corpus of labeled sequences procedures for accurately labeling future unlabeled sequences. The choice of representat...
Daniel Kudenko, Haym Hirsh
TKDE
2008
197views more  TKDE 2008»
13 years 10 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
AAAI
2008
14 years 18 days ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian
IAJIT
2008
117views more  IAJIT 2008»
13 years 10 months ago
Using WordNet for Text Categorization
: This paper explores a method that use WordNet concept to categorize text documents. The bag of words representation used for text representation is unsatisfactory as it ignores p...
Zakaria Elberrichi, Abdellatif Rahmoun, Mohamed Am...
IJON
2008
73views more  IJON 2008»
13 years 10 months ago
Third-order generalization: A new approach to categorizing higher-order generalization
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...
Richard Neville