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BMCBI
2011
11 years 9 days ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
TSMC
2008
189views more  TSMC 2008»
11 years 5 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
CLEF
2010
Springer
11 years 6 months ago
DAEDALUS at WebPS-3 2010: k-Medoids Clustering Using a Cost Function Minimization
This paper describes the participation of DAEDALUS team at the WebPS-3 Task 1, regarding Web People Search. The focus of our research is to evaluate and compare the computational r...
Sara Lana-Serrano, Julio Villena-Román, Jos...
IWPC
2000
IEEE
11 years 9 months ago
A Framework for Experimental Evaluation of Clustering Techniques
Experimental evaluation of clustering techniques for component recovery is necessary in order to analyze their strengths and weaknesses in comparison to other techniques. For comp...
Rainer Koschke, Thomas Eisenbarth
ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
11 years 11 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...
CVPR
2008
IEEE
11 years 11 months ago
Partitioning of image datasets using discriminative context information
We propose a new method to partition an unlabeled dataset, called Discriminative Context Partitioning (DCP). It is motivated by the idea of splitting the dataset based only on how...
Christoph H. Lampert
TSD
2009
Springer
11 years 12 months ago
Improving the Clustering of Blogosphere with a Self-term Enriching Technique
The analysis of blogs is emerging as an exciting new area in the text processing field which attempts to harness and exploit the vast quantity of information being published by ind...
Fernando Perez-Tellez, David Pinto, John Cardiff, ...
ICML
2006
IEEE
12 years 6 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
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