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MLDM
2005
Springer
15 years 6 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
ISPAN
2005
IEEE
15 years 6 months ago
A Self-stabilizing Link-Cluster Algorithm in Mobile Ad Hoc Networks
We design a self-stabilizing cluster routing algorithm based on the link-cluster architecture of wireless ad hoc networks. The network is divided into clusters. Each cluster has a...
Doina Bein, Ajoy Kumar Datta, Chakradhar R. Jaggan...
96
Voted
CEC
2005
IEEE
15 years 6 months ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
BMCBI
2005
97views more  BMCBI 2005»
15 years 13 days ago
Clustering the annotation space of proteins
Background: Current protein clustering methods rely on either sequence or functional similarities between proteins, thereby limiting inferences to one of these areas. Results: Her...
Victor Kunin, Christos A. Ouzounis
107
Voted
BMCBI
2005
97views more  BMCBI 2005»
15 years 13 days ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney