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» Adaptive Neural Network Clustering of Web Users
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TNN
1998
146views more  TNN 1998»
13 years 6 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
VLSISP
2002
124views more  VLSISP 2002»
13 years 6 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
AINA
2008
IEEE
14 years 1 months ago
Reputation of Communities of Web Services - Preliminary Investigation
Web services communities can be seen as virtual clusters that agglomerate Web services with the same functionality (e.g., FlightBooking). However, selecting a community to deal wi...
Said Elnaffar, Zakaria Maamar, Hamdi Yahyaoui, Jam...
SOFTWARE
2002
13 years 6 months ago
Using Markov Chains for Link Prediction in Adaptive Web Sites
The large number of Web pages on many Web sites has raised navigational problems. Markov chains have recently been used to model user navigational behavior on the World Wide Web (W...
Jianhan Zhu, Jun Hong, John G. Hughes
ACCV
2009
Springer
14 years 1 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu