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FUZZIEEE
2007
IEEE
13 years 11 months ago
Single Pass Fuzzy C Means
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
GI
2007
Springer
13 years 11 months ago
Classification of Vegetation Fusing Multichannel SAR Data by a Fuzzy Approach
: The improved spatial resolution of modern SAR sensors allows the distinction of significant areas in rural as well as in urban environments. For this purpose additional informati...
Antje Thiele, Karsten Schulz, Ulrich Thoennessen, ...
IJCNN
2007
IEEE
13 years 11 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
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...
ENGL
2007
148views more  ENGL 2007»
13 years 4 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas