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» On the Performance of Ant-based Clustering
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ACL
2006
15 years 7 months ago
Unsupervised Relation Disambiguation Using Spectral Clustering
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
IJAR
2008
88views more  IJAR 2008»
15 years 6 months ago
Clustering decomposed belief functions using generalized weights of conflict
We develop a method for clustering all types of belief functions, in particular non-consonant belief functions. Such clustering is done when the belief functions concern multiple ...
Johan Schubert
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 6 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
ICCSA
2003
Springer
15 years 11 months ago
A New Availability Concept for (n, k)-way Cluster Systems Regarding Waiting Time
It is necessary to have the precise definition of available performance of high availability systems that can represent the availability and performability of the systems altogethe...
Kiejin Park, Sungsoo Kim, Jyh-Charn Liu
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 6 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang