5829 search results - page 46 / 1166 » The Practice of Cluster Analysis |
DAWAK
2003
Springer
14 years 3 months ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
CORR
2004
Springer
13 years 9 months ago
2004
Springer
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...
ICIAP
2007
ACM
14 years 10 months ago
2007
ACM
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
WILF
2007
Springer
14 years 4 months ago
2007
Springer
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...
IGPL
2011
13 years 5 months ago
2011
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...