Master'sOpen Access

Unsupervised Learning Method Based on Partitioning in Data Mining

2015
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Advisor: Ersin Kuset Bodur

Abstract (EN)

This study provides the introduction of some basic definitions about clustering method of data mining. For this purpose, it is given the methods of data mining, some algorithms of clustering method. Meanwhile, the k -Means clustering and Hierarchical clustering algorithms are defined. The aim of this study is to cluster the dataset into two clusters using Hierarchical clustering algorithm and k -Means algorithm. In order to achieve our target, two distance formulas are used to measure the distance between the vectors in the algorithms: the Euclidean distance and k -Nearest neighborhood distance.to compare two methods. Keywords: Data mining, data mining algorithms, data mining applications

Author

Dr. Kelechi Churchill Onyejiaka

How to Cite

Kelechi Churchill Onyejiaka (Master Thesis). Unsupervised Learning Method Based on Partitioning in Data Mining, 2015, Eastern Mediterranean University, Department of Mathematics.

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