2034 search results - page 33 / 407 » On the Comparability of Software Clustering Algorithms |
WABI
2001
Springer
14 years 7 days ago
2001
Springer
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clusters of functionally associated genes. Often, gene orders are modeled as permut...
ADBIS
2007
Springer
14 years 2 months ago
2007
Springer
The method of self-organizing maps (SOM) is a method of exploratory data analysis used for clustering and projecting multi-dimensional data into a lower-dimensional space to reveal...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
SBCCI
2003
ACM
14 years 1 months 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...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...