An Automated Clustering Algorithm Based On Agglomerative Clustering

Karabina A., Kılıç E.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1801-1804, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7496111
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1801-1804
  • Keywords: agglomerative clustering, unsupervised learning, k clustering, correct k value selection
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

The most important one of main problems for K-based clustering algorithm is randomly selected k parameter when running the algorithm. In this study, an automated clustering algorithm based on agglomerative clustering and clusters without taking k parameter from user have been proposed. The main objective of the study is to select correct k value by using Spearman's Correlation Coefficient. This newly proposed automatic k parameter selection method's performance was examined in the study.