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» Cluster Analysis of High-Dimensional Data: A Case Study
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ICML
2010
IEEE
13 years 8 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...
WSOM
2009
Springer
14 years 2 months ago
Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map
The complex phenomena of political science are typically studied using qualitative approach, potentially supported by hypothesisdriven statistical analysis of some numerical data. ...
Pyry Niemelä, Timo Honkela
NIPS
2007
13 years 9 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
DOLAP
2005
ACM
13 years 9 months ago
Goal-oriented requirement analysis for data warehouse design
Several surveys indicate that a significant percentage of data warehouses fail to meet business objectives or are outright failures. One of the reasons for this is that requireme...
Paolo Giorgini, Stefano Rizzi, Maddalena Garzetti
CCGRID
2007
IEEE
14 years 2 months ago
Virtual Clusters on the Fly - Fast, Scalable, and Flexible Installation
One of the advantages in virtualized computing clusters compared to traditional shared HPC environments is their ability to accommodate user-specific system customization. Howeve...
Hideo Nishimura, Naoya Maruyama, Satoshi Matsuoka