231 search results - page 1 / 47 » Sublinear time approximate clustering |
ICALP
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper we present a novel analysis of a random sampling approach for three clustering problems in metric spaces: k-median, min-sum kclustering, and balanced k-medi...
SODA
2001
ACM
13 years 6 months ago
2001
ACM
Clustering is of central importance in a number of disciplines including Machine Learning, Statistics, and Data Mining. This paper has two foci: 1 It describes how existing algori...
FOCS
1999
IEEE
13 years 9 months ago
1999
IEEE
The metric 2-clustering problem is de ned as follows: given a metric (X;d), partition X into two sets S1 and S2 in order to minimize the value of X i X fu;vg Si d(u;v) In this pap...
ICALP
2001
Springer
13 years 9 months ago
2001
Springer
We present a probabilistic algorithm that, given a connected graph G (represented by adjacency lists) of average degree d, with edge weights in the set {1, . . . , w}, and given a ...
RECOMB
2006
Springer
14 years 5 months ago
2006
Springer
The Robinson-Foulds (RF) metric is the measure most widely used in comparing phylogenetic trees; it can be computed in linear time using Day's algorithm. When faced with the n...