39 search results - page 4 / 8 » Web-scale k-means clustering |
ICONIP
2008
13 years 8 months ago
2008
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
RIAO
2007
13 years 8 months ago
2007
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
WWW
2008
ACM
14 years 7 months ago
2008
ACM
Disambiguating person names in a set of documents (such as a set of web pages returned in response to a person name) is a key task for the presentation of results and the automatic...
ICDM
2009
IEEE
14 years 1 months ago
2009
IEEE
This work examines under what conditions compression methodologies can retain the outcome of clustering operations. We focus on the popular k-Means clustering algorithm and we dem...
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...