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» Adaptive K-Means Clustering
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SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 6 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
CORR
2010
Springer
183views Education» more  CORR 2010»
14 years 9 months ago
Forming the COUNCIL Based Clusters in Securing Wireless Ad Hoc Networks
-- In cluster-based routing protocol (CBRP), two-level hierarchical structure is successfully used to reduce over-flooding in wireless ad hoc networks. As it is vulnerable to a sin...
Alok Ojha, Hongmei Deng, Dharma P. Agrawal, Sugata...
64
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CIMCA
2005
IEEE
15 years 3 months ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras
COLT
2005
Springer
15 years 3 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
CTRSA
2005
Springer
88views Cryptology» more  CTRSA 2005»
15 years 3 months ago
Sub-linear Queries Statistical Databases: Privacy with Power
Abstract. We consider a statistical database in which a trusted administrator introduces noise to the query responses with the goal of maintaining privacy of individual database en...
Cynthia Dwork