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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...
MMM
2012
Springer
294views Multimedia» more  MMM 2012»
12 years 7 days ago
Improving Cluster Selection and Event Modeling in Unsupervised Mining for Automatic Audiovisual Video Structuring
Abstract. Can we discover audio-visually consistent events from videos in a totally unsupervised manner? And, how to mine videos with different genres? In this paper we present our...
Anh-Phuong Ta, Mathieu Ben, Guillaume Gravier
IJAR
2006
92views more  IJAR 2006»
13 years 4 months ago
Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters
The pattern recognition problem in Ring Imaging CHerenkov (RICH) counters concerns the identification of an unknown number of rings whose centers and radii are assumed to be unkno...
A. M. Massone, Léonard Studer, Francesco Ma...
EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
13 years 2 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...