An efficient clustering algorithm for partitioning Y-short tandem repeats data

An efficient clustering algorithm for partitioning Y-short tandem repeats data

Background: Y-Short Tandem Repeats (Y-STR) data consist of many similar and almost similar objects. This characteristic of Y-STR data causes two problems with partitioning: non-unique centroids and local minima problems. As a result, the existing partitioning algorithms produce poor clustering resul...

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Bibliographic Details
Main Authors: Bakar, Z.A (Author), Isa, M.N (Author), Seman, A. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd. 2012
Subjects:
algorithm
Algorithms
allele
Alleles
article
automated pattern recognition
Bioinformatics
biology
Chromosomes, Human, Y
cluster analysis
Cluster Analysis
Clustering
Computational Biology
Data mining
Databases, Genetic
genetic database
haplotype
Haplotypes
human
Humans
methodology
microsatellite DNA
Microsatellite Repeats
Optimization
Pattern Recognition, Automated
statistics
Y chromosome
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