In this repository, you can find codes and data sets of the paper titled Comparison of the methods to determine the optimal number of clusters.
References of the data sets:
USER KNOWLEDGE DATA:
H. T. Kahraman, Sagiroglu, S., Colak, I., Developing intuitive knowledge classifier and modeling of users' domain dependent data in web, Knowledge Based Systems, vol. 37, pp. 283-295, 2013.
APPENDICITIS DATA:
WEISS, Sholom M.; KULIKOWSKI, Casimir A. Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems. Morgan Kaufmann Publishers Inc. 1991.
OTHER DATAS ARE TAKEN FROM:
Dua, D. and Graff, C. UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA:University of California, School of Information and Computer Science. 2019
Paper Information:
ÖZTÜRK, F. E., & DEMİREL, N. (2023). Comparison of the methods to determine optimal number of cluster. Veri Bilimi, 6(1), 34-45.
You can download the paper in here: https://dergipark.org.tr/en/download/article-file/2991304