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» Privacy Preserving in Clustering using Fuzzy Sets
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ISI
2008
Springer
13 years 8 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
FUIN
2011
358views Cryptology» more  FUIN 2011»
13 years 2 days 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...
FUZZIEEE
2007
IEEE
14 years 2 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
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
13 years 10 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
VVS
1998
IEEE
107views Visualization» more  VVS 1998»
14 years 25 days ago
Edge Preservation in Volume Rendering Using Splatting
: This paper presents a method to preserve sharp edge details in splatting for volume rendering. Conventional splatting algorithms produce fuzzy images for views close to the volum...
Jian Huang, Roger Crawfis, Don Stredney