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» Approximate Kernel Clustering
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BMCBI
2008
117views more  BMCBI 2008»
14 years 10 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
DATAMINE
2006
89views more  DATAMINE 2006»
14 years 10 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
ICIP
2004
IEEE
15 years 11 months ago
Detection of unique people in news programs using multimodal shot clustering
In this paper we describe an approach that uses a combination of visual and audio features to cluster shots belonging to the same person together in video programs. We use color h...
Alberto Albiol, Cüneyt M. Taskiran, Edward J....
IPPS
2007
IEEE
15 years 4 months ago
A Scalable Cluster Algorithm for Internet Resources
Applications such as parallel computing, online games, and content distribution networks need to run on a set of resources with particular network connection characteristics to ge...
Chuang Liu, Ian T. Foster
IJCNN
2000
IEEE
15 years 2 months ago
A SOM Based Cluster Visualization and Its Application for False Coloring
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...
Johan Himberg