An Effective Method Determining the Initial Cluster Centers for K-means for Clustering Gene Expression Data
| dc.contributor.author | Tanir, Deniz | |
| dc.contributor.author | Nuriyeva, Fidan | |
| dc.contributor.editor | Adali, E | |
| dc.date.accessioned | 2019-10-27T11:18:47Z | |
| dc.date.available | 2019-10-27T11:18:47Z | |
| dc.date.issued | 2017 | |
| dc.department | Ege Üniversitesi | en_US |
| dc.description | 2017 International Conference on Computer Science and Engineering (UBMK) -- OCT 05-08, 2017 -- Antalya, TURKEY | en_US |
| dc.description.abstract | Clustering is an important tool for analyzing gene expression data. Many clustering algorithms have been proposed for the analysis of gene expression data. In this article we have clustered real life gene expression data via K-Means which is one of clustering algorithms. Also, we have proposed a new method determining the initial cluster centers for K-means. We have compared results of our method with other clustering algorithms. The comparison results show that the K-means algorithm which uses the proposed methods converges to better clustering results than other clustering algorithms. | en_US |
| dc.description.sponsorship | IEEE Adv Technol Human, Istanbul Teknik Univ, Gazi Univ, Atilim Univ, TBV, Akdeniz Univ, Tmmob Bilgisayar Muhendisleri Odasi | en_US |
| dc.identifier.endpage | 754 | en_US |
| dc.identifier.isbn | 978-1-5386-0930-9 | |
| dc.identifier.startpage | 751 | en_US |
| dc.identifier.uri | https://hdl.handle.net/11454/32621 | |
| dc.identifier.wos | WOS:000426856900140 | en_US |
| dc.identifier.wosquality | N/A | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | Ieee | en_US |
| dc.relation.ispartof | 2017 International Conference on Computer Science and Engineering (Ubmk) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | K-means | en_US |
| dc.subject | Gene Expression | en_US |
| dc.subject | Clustering | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Initial Cluster Centers | en_US |
| dc.title | An Effective Method Determining the Initial Cluster Centers for K-means for Clustering Gene Expression Data | en_US |
| dc.type | Conference Object | en_US |
