The Use of Clustering and Classification Methods in Machine Learning and Comparison of Some Algorithms of the Methods

Abstract

In this article, two machine learning methods such as classification and clustering are used for decision tree (DT), artificial neural network (ANN), and K-nearest neighbors algorithms. The datasets were used to evaluate the effectiveness of the clustering method and the data mining tool. Weather data were used to compare algorithms and methods in the study. This study showed that the best model was DT according to accuracy and precision measures but the best model according to F-measure and receiver operating characteristic curve area measures was ANN. Waikato Environment for Knowledge Analysis, a data mining tool, is utilized in this paper to carry out the clustering.