Comparison of Clustering Algorithms with Feature Selection on Breast Cancer dataset

Title: Comparison of Clustering Algorithms with Feature Selection on Breast Cancer dataset
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 5 Issue 1
Authors: M. V. Anjana Devi, Dr. D. D. Sarma


Abstract

When compared to all other cancers in developing countries Breast Cancer is the primary cause of death in women. As per the statistics of National Cancer institute, Breast Cancer is the second most common cause in women in developed countries. The Breast cancer risk is one in twenty eight women. Data clustering is a process of putting similar data into clusters. Clustering algorithms partition a dataset into a fixed number of clusters supplied by the user. Here Data mining clustering algorithms are used to compare the performance of major clustering algorithms. The Breast Cancer dataset taken from UCI machine learning repository to analyze An experiment was conducted with data mining tool using three algorithms viz., k-means clustering, Hierarchical clustering and Density based clustering on the Wisconsin's dataset on Breast cancer. The results are analysed using principal component filter.

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