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LREC
2008
129views Education» more  LREC 2008»
13 years 6 months ago
Spectral Clustering for a Large Data Set by Reducing the Similarity Matrix Size
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
Hiroyuki Shinnou, Minoru Sasaki
ICONIP
2008
13 years 6 months ago
Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity
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...
Tina Geweniger, Frank-Michael Schleif, Alexander H...
CLEF
2011
Springer
12 years 4 months ago
A Language-Independent Approach to Identify the Named Entities in Under-Resourced Languages and Clustering Multilingual Document
Abstract. This paper presents a language-independent Multilingual Document Clustering (MDC) approach on comparable corpora. Named entites (NEs) such as persons, locations, organiza...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
CORR
2006
Springer
132views Education» more  CORR 2006»
13 years 4 months ago
Navigating multilingual news collections using automatically extracted information
We are presenting a text analysis tool set that allows analysts in various fields to sieve through large collections of multilingual news items quickly and to find information that...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
PAMI
2011
12 years 11 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...