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» FACT: A New Fuzzy Adaptive Clustering Technique
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VLSISP
2002
124views more  VLSISP 2002»
14 years 11 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
CIMCA
2008
IEEE
15 years 6 months ago
A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a pa...
Holger Schöner, Bernhard Moser, Adrian A. Dor...
ICPR
2008
IEEE
16 years 27 days ago
Growing neural gas for temporal clustering
Conventional clustering techniques provide a static snapshot of each vector's commitment to every group. With additive datasets, however, existing methods may not be sufficie...
Isaac J. Sledge, James M. Keller
NIPS
2001
15 years 1 months ago
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
Mikhail Belkin, Partha Niyogi
ESWA
2008
116views more  ESWA 2008»
14 years 11 months ago
The application of clustering analysis for the critical areas on TFT-LCD panel
For thin film transistor-liquid crystal displays (TFT-LCD) factories in Taiwan, yield performance had become as an important competitiveness determinant during the competitive env...
Kun-Lin Hsieh