472 search results - page 74 / 95 » Clustering functional data with the SOM algorithm |
125
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
143
Voted
ICIP
1997
IEEE
16 years 5 months ago
1997
IEEE
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
162
Voted
ISBRA
2007
Springer
15 years 9 months ago
2007
Springer
The fundamental goal of computational neuroscience is to discover anatomical features that reflect the functional organization of the brain. Investigations of the physical connect...
134
Voted
ISNN
2004
Springer
15 years 9 months ago
2004
Springer
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...
180
Voted
APBC
2004
15 years 5 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...