2228 search results - page 6 / 446 » Distributed Data Clustering Can Be Efficient and Exact |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
FGCN
2008
IEEE
14 years 2 months ago
2008
IEEE
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
KAIS
2006
13 years 7 months ago
2006
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
CLOUDCOM
2010
Springer
13 years 5 months ago
2010
Springer
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
SOSP
1997
ACM
13 years 9 months ago
1997
ACM
Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...