BMCBI
2011
12 years 11 months ago
2011
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...
TSMC
2008
13 years 4 months ago
2008
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...
CLEF
2010
Springer
13 years 5 months ago
2010
Springer
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...
IWPC
2000
IEEE
13 years 9 months ago
2000
IEEE
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...
ISPD
2005
ACM
13 years 10 months ago
2005
ACM
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...
CVPR
2008
IEEE
13 years 11 months ago
2008
IEEE
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...
TSD
2009
Springer
13 years 11 months ago
2009
Springer
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...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
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...