Biclustering of Biological data
| dc.contributor.author | BENCHELLALI, Almoaatassam Bellah | |
| dc.date.accessioned | 2019-07-23T09:46:10Z | |
| dc.date.available | 2019-07-23T09:46:10Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | In this research, we have proposed a new model of biclustering of microarray matrices. By applying the Kmeans to reordering data, and applying original Cheng and Church algorithm to get biclusters. Our proposed model improve the accuracy score and run time of algorithm. We verified this new model proposed with many variant synthetic datasets and calculate the score of three external evaluation measures: Relative NonIntersecting Area (RNIA) and Clustering Error (CE), Campello Soft Index (CSI). | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/15688 | |
| dc.language.iso | en | en_US |
| dc.publisher | University Mohamed Boudiaf - M'sila Faculty of Mathematics and Informatics Department of Computer Science -Option: SIGL | en_US |
| dc.subject | Cheng and Church, KMEANS, Biclustering, DNA Microarray, Gene Expression, Clustering. | en_US |
| dc.title | Biclustering of Biological data | en_US |
| dc.type | Thesis | en_US |