1400 search results - page 13 / 280 » Bayesian hierarchical clustering |
KDD
2002
ACM
14 years 8 months ago
2002
ACM
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
IPM
2002
13 years 7 months ago
2002
Hierarchic document clustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. However, pre...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we present a new speaker diarization system that improves the accuracy of traditional hierarchical clustering-based methods with little increase in computational co...
IMCSIT
2010
13 years 4 months ago
2010
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
ML
2002
ACM
13 years 7 months ago
2002
ACM
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...