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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 11 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
BMCBI
2010
139views more  BMCBI 2010»
13 years 7 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
ICPR
2004
IEEE
14 years 8 months ago
Fast Robust GA-Based Ellipse Detection
This paper discusses a novel and effective technique for extracting multiple ellipses from an image, using a Multi-Population Genetic Algorithm (MPGA). MPGA evolves a number of su...
Jie Yao, Nawwaf N. Kharma, Peter Grogono
PDP
2006
IEEE
14 years 1 months ago
A Distributed Query Structure to Explore Random Mappings in Parallel
We explore the possibilities to organize a query data structure in the main memories or hard disks of a cluster computer. The query data structure serves to improve the performanc...
Jan Heichler, Jorg Keller
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai