Sciweavers

5595 search results - page 231 / 1119
» Approximation Algorithms for Clustering Problems
Sort
View
277
Voted
ICDE
2007
IEEE
148views Database» more  ICDE 2007»
16 years 7 months ago
Conquering the Divide: Continuous Clustering of Distributed Data Streams
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Graham Cormode, S. Muthukrishnan, Wei Zhuang
CLUSTER
2006
IEEE
16 years 13 days ago
Stochastic Scheduling with Availability Constraints in Heterogeneous Clusters
High availability plays an important role in heterogeneous clusters, where processors operate at different speeds and are not continuously available for processing. Existing sched...
Tao Xie 0004, Xiao Qin
BMCBI
2005
122views more  BMCBI 2005»
15 years 6 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
ICAISC
2010
Springer
15 years 11 months ago
A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data
This paper presents a new implementation of the co-VAT algorithm. We assume we have an m × n matrix D, where the elements of D are pair-wise dissimilarities between m row objects ...
Timothy C. Havens, James C. Bezdek, James M. Kelle...
ICML
2006
IEEE
16 years 7 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal