151 search results - page 12 / 31 » Fuzzifying Clustering Algorithms: The Case Study of MajorClu... |
SBCCI
2003
ACM
14 years 28 days ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
ICGI
2004
Springer
14 years 1 months ago
2004
Springer
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
FPL
2006
Springer
13 years 11 months ago
2006
Springer
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...