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ICPR
2008
IEEE
15 years 4 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
STOC
2005
ACM
198views Algorithms» more  STOC 2005»
15 years 10 months ago
On lattices, learning with errors, random linear codes, and cryptography
Our main result is a reduction from worst-case lattice problems such as GAPSVP and SIVP to a certain learning problem. This learning problem is a natural extension of the `learnin...
Oded Regev
ICPR
2008
IEEE
15 years 4 months ago
Partial closure-based constrained clustering with order ranking
In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measureme...
Shaohong Zhang, Hau-San Wong
APPROX
2010
Springer
139views Algorithms» more  APPROX 2010»
14 years 11 months ago
Two-Source Extractors Secure against Quantum Adversaries
We initiate the study of multi-source extractors in the quantum world. In this setting, our goal is to extract random bits from two independent weak random sources, on which two q...
Roy Kasher, Julia Kempe
CIMCA
2005
IEEE
15 years 3 months ago
A New Evolutionary Algorithm for Determining the Optimal Number of Clusters
Estimating the optimal number of clusters for a dataset is one of the most essential issues in cluster analysis. An improper pre-selection for the number of clusters might easily ...
Wei Lu, Issa Traoré