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ECML
2006
Springer
15 years 3 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang
WWW
2001
ACM
16 years 15 days ago
Clustering user queries of a search engine
In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of...
Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang
CLASSIFICATION
2008
73views more  CLASSIFICATION 2008»
14 years 12 months ago
Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms
: In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the ama...
Alberto Fernández, Sergio Gómez
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
15 years 6 months ago
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
Elke Achtert, Hans-Peter Kriegel, Arthur Zimek
COLING
1996
15 years 1 months ago
An Automatic Clustering of Articles Using Dictionary Definitions
In this paper, we propose a statistical approach for clustering of artMes using on-line dictionary definitions. One of the characteristics of our approach is that every sense of w...
Fumiyo Fukumoto, Yoshimi Suzuki