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» The Complexity of Polynomial-Time Approximation
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BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 6 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo
BMCBI
2006
138views more  BMCBI 2006»
15 years 6 months ago
Approximation properties of haplotype tagging
Background: Single nucleotide polymorphisms (SNPs) are locations at which the genomic sequences of population members differ. Since these differences are known to follow patterns,...
Staal A. Vinterbo, Stephan Dreiseitl, Lucila Ohno-...
157
Voted
CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 5 months ago
HyperANF: Approximating the Neighbourhood Function of Very Large Graphs on a Budget
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable from x in less that t hops. The neighbourhood fun...
Paolo Boldi, Marco Rosa, Sebastiano Vigna
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 7 months ago
Fast 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-s...
Donghui Yan, Ling Huang, Michael I. Jordan
STOC
2003
ACM
171views Algorithms» more  STOC 2003»
16 years 7 months ago
Primal-dual meets local search: approximating MST's with nonuniform degree bounds
We present a new bicriteria approximation algorithm for the degree-bounded minimum-cost spanning tree problem: Given an undirected graph with nonnegative edge weights and degree b...
Jochen Könemann, R. Ravi