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APVIS
2008
13 years 11 months ago
Energy-Based Hierarchical Edge Clustering of Graphs
Effectively visualizing complex node-link graphs which depict relationships among data nodes is a challenging task due to the clutter and occlusion resulting from an excessive amo...
Hong Zhou, Xiaoru Yuan, Weiwei Cui, Huamin Qu, Bao...
GIS
2002
ACM
13 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
ICASSP
2010
IEEE
13 years 10 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
WEBI
2005
Springer
14 years 3 months ago
Standardized Evaluation Method for Web Clustering Results
Finding a set of web pages relevant to a user’s information goal is difficult due to the enormous size of the Internet. Search engines are able to find a set of pages that mat...
Daniel Crabtree, Xiaoying Gao, Peter Andreae
BMCBI
2004
158views more  BMCBI 2004»
13 years 10 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...