Dhillon, I., Mallela, S., Kumar, R.: Enhanced word clustering for hierarchical text classification. Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, (2002) 191200 Home/Search Document Details and Download
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Survey Of Clustering Data Mining Techniques - Berkhin (2002) (18 citations) (Correct)
....[BB02] showed algebraic connection of distributional clustering to k means. They used kmeans analog for KL distance as an iterative step in algorithm SIMPLIFYRELATION that gradually co clusters points and attributes. This development has industrial applications in Web analysis. Dhillon et al. [DMK02] used Jensen Shanon divergence to cluster attributes in k means fashion in text classification. Besides text and Web data clustering, the idea of co clustering finds its way into clustering of gene microarrays Busygin et al. BJK02] 36 We have presented many different clustering techniques. ....
Dhillon, I., Mallela, S., and Kumar, R., Enhanced Word Clustering for Hierarchical Text Classification, to be published.
Text Classification Using Clustering - Kyriakopoulou, Kalamboukis (2006) (1 citation) (Correct)
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Dhillon, I., Mallela, S., Kumar, R.: Enhanced word clustering for hierarchical text classification. Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada, (2002) 191200
Visual Explanation of Evidence in Additive Classifiers - Brett Poulin Roman (2006) (Correct)
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Dhillon, I., Mallela, S., and Kumar, R. 2002. Enhanced Word Clustering for Hierarchical Text Classification. In 8th ACM SIGKDD, Edmonton, AB, 191-200.
Exploiting Hierarchical Relationships in Conceptual - Devanand Ravindran Susan (Correct)
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Inderjit Dhillon, Subramanyam Mallela, Rahul Kumar. Enhanced word clustering for hierarchical text classification. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002), pp. 191-200.
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