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FSS
2002
99views more  FSS 2002»
13 years 4 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
ICPR
2008
IEEE
13 years 11 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
SSDBM
2005
IEEE
159views Database» more  SSDBM 2005»
13 years 10 months ago
Clustering Moving Objects via Medoid Clusterings
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
Hans-Peter Kriegel, Martin Pfeifle
FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 8 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
SSDBM
2005
IEEE
128views Database» more  SSDBM 2005»
13 years 10 months ago
Fuzzy Decomposition of Spatially Extended Objects
Modern database applications including computer-aided design, multimedia information systems, medical imaging, molecular biology, or geographical information systems impose new re...
Hans-Peter Kriegel, Martin Pfeifle