Latent Dirichlet Co-Clustering

We present a generative model for simultaneously clustering documents and terms. Our model is a four-level hierarchical Bayesian model, in which each document is modeled as a random mixture of document topics , where each topic is a distribution over some segments of the text. Each of these segments...

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Bibliographic Details

Published in:	Sixth International Conference on Data Mining (ICDM'06) pp. 542 - 551
Main Authors:	Shafiei, M.M., Milios, E.E.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2006
Subjects:	Bayesian methods Clustering algorithms Computer science Data mining Frequency Inference algorithms Large scale integration Linear discriminant analysis Natural languages Parameter estimation
ISBN:	9780769527017, 0769527019
ISSN:	1550-4786
Online Access:	Get full text
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