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 |
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| Format: | Article |
| Language: | English |
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Asian Network for Scientific Information
2012
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| 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 |
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2-s2.0-84861419270 Seman A.; Bakar Z.A.; Isa M.N. Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data 2012 Trends in Bioinformatics 5 2 10.3923/tb.2012.47.52 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 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 benchmark for the evaluation. The results clearly indicated that the soft k-modes-type clustering algorithms are the most reliable algorithms for partitioning Y-STR data. © 2012 Asian Network for Scientific Information. Asian Network for Scientific Information 19947941 English Article |
| author |
Seman A.; Bakar Z.A.; Isa M.N. |
| spellingShingle |
Seman A.; Bakar Z.A.; Isa M.N. Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| author_facet |
Seman A.; Bakar Z.A.; Isa M.N. |
| author_sort |
Seman A.; Bakar Z.A.; Isa M.N. |
| title |
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| title_short |
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| title_full |
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| title_fullStr |
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| title_full_unstemmed |
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| title_sort |
Evaluation of k-modes-type algorithms for clustering Y-short tandem repeats data |
| publishDate |
2012 |
| container_title |
Trends in Bioinformatics |
| container_volume |
5 |
| container_issue |
2 |
| doi_str_mv |
10.3923/tb.2012.47.52 |
| url |
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 |
| description |
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 benchmark for the evaluation. The results clearly indicated that the soft k-modes-type clustering algorithms are the most reliable algorithms for partitioning Y-STR data. © 2012 Asian Network for Scientific Information. |
| publisher |
Asian Network for Scientific Information |
| issn |
19947941 |
| language |
English |
| format |
Article |
| accesstype |
|
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1809678489083707392 |