Öneri Özeti
| ID | 113 |
| Title | Veri Kümeleme Algoritmalarının Performansları Üzerine Karşılaştırmalı Bir Çalışma |
| Author(s) | Author #1 Name: Mustafa Seçkin DURMUŞ Org: Pamukkale University Country: Turkiye Email: msdurmus__at__pau.edu.tr
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| Other Author(s) | |
| Keywords | Data Clustering, Clustering Algorithms, Nearest Neighbor, Mutual Neighborhood, Minimum Spanning Tree, Support Vectors |
| Abstract | Clustering is a kind of classification which is unsupervised classification of objects (observations, features and data) into different groups (clusters). A cluster is a set of entities which are alike, and entities from different clusters which are not alike. In this comparative study, performances of different data clustering algorithms, in which resulting number of clusters are not known before clustering are considered. |
| Topics | • Yüksek başarım , Grid ve Kümeleme teknolojileri • Veri madenciligi |
| Comments | |
| Paper | 113.ps (505KB) |