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» On the Complexity of Ordinal Clustering
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JCST
2010
147views more  JCST 2010»
13 years 8 months ago
A New Approach for Multi-Document Update Summarization
Fast changing knowledge on the Internet can be acquired more efficiently with the help of automatic document summarization and updating techniques. This paper describes a novel app...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
MCS
2007
Springer
14 years 4 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
BMCBI
2010
171views more  BMCBI 2010»
13 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
TPDS
2008
140views more  TPDS 2008»
13 years 10 months ago
High-Performance Resource Allocation and Request Redirection Algorithms for Web Clusters
Abstract-- With increasing richness in features such as personalization of content, web applications are becoming more complex and hence compute intensive. Traditional approaches t...
Supranamaya Ranjan, Edward W. Knightly
CVPR
2006
IEEE
15 years 4 days ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan