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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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SYNASC
2005
IEEE
170views Algorithms» more  SYNASC 2005»
14 years 2 months ago
Density Based Clustering with Crowding Differential Evolution
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
Daniela Zaharie
PDPTA
2007
13 years 10 months ago
An Implementation of Parallel File Distribution in an Agent Hierarchy
AgentTeamwork coordinates parallel job execution in a hierarchy of mobile agents. A collection of specialized agents are deployed to remote sites including multiple clusters so as...
Jumpei Miyauchi, Munehiro Fukuda, Joshua Phillips
NOSSDAV
2009
Springer
14 years 3 months ago
SLIPstream: scalable low-latency interactive perception on streaming data
A critical problem in implementing interactive perception applications is the considerable computational cost of current computer vision and machine learning algorithms, which typ...
Padmanabhan Pillai, Lily B. Mummert, Steven W. Sch...
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 10 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
BMCBI
2011
13 years 20 days ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus