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» Approximation Algorithms for Hamming Clustering Problems
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COCOON
2010
Springer
15 years 1 months ago
A Three-String Approach to the Closest String Problem
Given a set of n strings of length L and a radius d, the closest string problem (CSP for short) asks for a string tsol that is within a Hamming distance of d to each of the given ...
Zhi-Zhong Chen, Bin Ma, Lusheng Wang
PODS
2008
ACM
153views Database» more  PODS 2008»
15 years 9 months ago
Approximation algorithms for co-clustering
Co-clustering is the simultaneous partitioning of the rows and columns of a matrix such that the blocks induced by the row/column partitions are good clusters. Motivated by severa...
Aris Anagnostopoulos, Anirban Dasgupta, Ravi Kumar
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
FOCS
2006
IEEE
15 years 3 months ago
On the Optimality of the Dimensionality Reduction Method
We investigate the optimality of (1+ )-approximation algorithms obtained via the dimensionality reduction method. We show that: • Any data structure for the (1 + )-approximate n...
Alexandr Andoni, Piotr Indyk, Mihai Patrascu
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
14 years 11 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov