Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data
This paper reports on the experimental results of the k-modes-type algorithms for partitioning Y-Short Tandem Repeats (Y-STR) data. The results were based on the clustering accuracy scores of five hard and three soft k-modes-type algorithms. Six Y-Short Tandem Repeats data sets were used as a benchm...
Published in: | Trends in Bioinformatics |
---|---|
Main Author: | Seman A.; Bakar Z.A.; Isa M.N. |
Format: | Article |
Language: | English |
Published: |
Asian Network for Scientific Information
2012
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861419270&doi=10.3923%2ftb.2012.47.52%c2%a0&partnerID=40&md5=0d7697b86d0b15a1c8fd691b0acc83d8 |
Similar Items
-
Towards development of clustering applications for large-scale comparative genotyping and kinship analysis using Y-short tandem repeats
by: Seman A.; Sapawi A.M.; Salleh M.Z.
Published: (2015) -
An optimal and stable algorithm for clustering numerical data
by: Seman A.; Sapawi A.M.
Published: (2021) -
Exploratory analysis on the performance of K-means, Kmeans.fd and K-median in clustering contaminated PM10 functional data
by: Kamarulzalis A.H.; Shaadan N.; Deni S.M.
Published: (2024) -
A comparison study of clustering algorithms in grouping microarray data
by: Zin S.H.H.M.; Moktar B.
Published: (2024) -
An Improved Similarity-based Fuzzy Group Decision Making Model through Preference Transformation and K-Means Clustering Algorithm
by: Zaid A.S.; Kamis N.H.; Rodzi Z.M.; Kilicman A.; Kadir N.A.
Published: (2023)