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CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 11 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
86
Voted
AIRS
2006
Springer
15 years 3 months ago
Natural Document Clustering by Clique Percolation in Random Graphs
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
Wei Gao, Kam-Fai Wong
78
Voted
SODA
2000
ACM
125views Algorithms» more  SODA 2000»
15 years 29 days ago
Approximation algorithms for projective clustering
We consider the following two instances of the projective clustering problem: Given a set
Pankaj K. Agarwal, Cecilia Magdalena Procopiuc
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 1 days ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
92
Voted
APPROX
2008
Springer
102views Algorithms» more  APPROX 2008»
15 years 1 months ago
Dense Fast Random Projections and Lean Walsh Transforms
Random projection methods give distributions over k
Edo Liberty, Nir Ailon, Amit Singer