142 search results - page 1 / 29 » Clustering Large Datasets in Arbitrary Metric Spaces |
ICDE
1999
IEEE
14 years 6 months ago
1999
IEEE
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
BMCBI
2010
13 years 2 months ago
2010
Background: We propose a sequence clustering algorithm and compare the partition quality and execution time of the proposed algorithm with those of a popular existing algorithm. T...
STACS
2007
Springer
13 years 10 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
BMCBI
2011
12 years 8 months ago
2011
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...