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» Chameleon: Hierarchical Clustering Using Dynamic Modeling
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IPPS
2003
IEEE
15 years 6 months ago
Task Pool Teams for Implementing Irregular Algorithms on Clusters of SMPs
The characteristics of irregular algorithms make a parallel implementation difficult, especially for PC clusters or clusters of SMPs. These characteristics may include an unpredi...
Judith Hippold, Gudula Rünger
COOPIS
2003
IEEE
15 years 6 months ago
From Distributed Objects to Hierarchical Grid Components
We propose a parallel and distributed component framework for building Grid applications, adapted to the hierarchical, highly distributed, highly heterogeneous nature of Grids. Thi...
Françoise Baude, Denis Caromel, Matthieu Mo...
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 1 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
ICCV
1998
IEEE
16 years 3 months ago
Shape Recovery Using Dynamic Subdivision Surfaces
A new dynamic subdivision surface model is proposed for shape recovery from 3D data sets. The model inherits the attractive properties of the Catmull-Clark subdivision scheme and ...
Chhandomay Mandal, Baba C. Vemuri, Hong Qin
JCB
2002
160views more  JCB 2002»
15 years 27 days ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...