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SDM
2007
SIAM
117views Data Mining» more  SDM 2007»
13 years 9 months ago
Discriminating Subsequence Discovery for Sequence Clustering
In this paper, we explore the discriminating subsequencebased clustering problem. First, several effective optimization techniques are proposed to accelerate the sequence mining p...
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Ka...
RIAO
2007
13 years 9 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
LREC
2010
196views Education» more  LREC 2010»
13 years 9 months ago
An Evaluation of Predicate Argument Clustering using Pseudo-Disambiguation
Schulte im Walde et al. (2008) presented a novel approach to semantic verb classication. The predicate argument model (PAC) presented in their paper models selectional preferences...
Christian Scheible
IJHPCN
2008
94views more  IJHPCN 2008»
13 years 7 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
ICPR
2006
IEEE
14 years 8 months ago
A General Framework for Agglomerative Hierarchical Clustering Algorithms
This paper presents a general framework for agglomerative hierarchical clustering based on graphs. Specifying an inter-cluster similarity measure, a subgraph of the similarity gra...
Reynaldo Gil-García, José Manuel Bad...