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NN
2002
Springer
144views Neural Networks» more  NN 2002»
14 years 9 months ago
Projective ART for clustering data sets in high dimensional spaces
A new neural network architecture (PART) and the resulting algorithm are proposed to
Yongqiang Cao, Jianhong Wu
PAMI
2002
243views more  PAMI 2002»
14 years 9 months ago
An Efficient k-Means Clustering Algorithm: Analysis and Implementation
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
14 years 9 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
89
Voted
SIGIR
2002
ACM
14 years 9 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
GIS
2002
ACM
14 years 10 months ago
Opening the black box: interactive hierarchical clustering for multivariate spatial patterns
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
Diansheng Guo, Donna Peuquet, Mark Gahegan