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» Learning the k in k-means
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ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
14 years 1 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge
RIAO
2007
13 years 11 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
ESWA
2008
213views more  ESWA 2008»
13 years 9 months ago
Visualization of patent analysis for emerging technology
Many methods have been developed to recognize those progresses of technologies, and one of them is to analyze patent information. And visualization methods are considered to be pr...
Young Gil Kim, Jong Hwan Suh, Sang-Chan Park
ICCV
2011
IEEE
12 years 9 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...

Publication
110views
13 years 9 months ago
EM in High Dimensional Spaces
B. Draper, D.L. Elliott, J. Hayes, and K. Baek