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TKDE
2008
197views more  TKDE 2008»
13 years 7 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
ICCS
2007
Springer
14 years 1 months ago
Density Based Fuzzy Membership Functions in the Context of Geocomputation
Geocomputation has a long tradition in dealing with fuzzyness in different contexts, most notably in the challenges created by the representation of geographic space in digital for...
Victor Sousa Lobo, Fernando Bação, M...
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
13 years 8 months ago
Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Alexandros Mouzakitis, Geoff Roberts
IJCNN
2000
IEEE
13 years 11 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
GLOBECOM
2009
IEEE
14 years 1 months ago
Reusable Set Constructions Using Randomized Dissolvent Templates for Biometric Security
—The emerging biometric cryptography has gained significant interests for key management and privacy protection, but the previously proposed schemes using set metrics for finge...
Jinyang Shi, Kwok-Yan Lam, Ming Gu, Husheng Li