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KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 5 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
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...
Hichem Frigui
DIAGRAMS
2004
Springer
15 years 10 months ago
Geographic Projection of Cluster Composites
A composite cluster map displays a fuzzy categorisation of geographic areas. It combines information from several sources to provide a visualisation of the significance of cluster...
Peter Kleiweg, John Nerbonne, Leonie Bosveld
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 8 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
BMCBI
2005
73views more  BMCBI 2005»
15 years 5 months ago
Evaluation of Glycine max mRNA clusters
Background: Clustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolut...
Ronald L. Frank, Fikret Erçal
CLUSTER
2003
IEEE
15 years 10 months ago
A Cluster-Based Solution for High Performance Hmmpfam Using EARTH Execution Model
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Weirong Zhu, Yanwei Niu, Jizhu Lu, Chuan Shen, Gua...