期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：6
页码：11731
DOI：10.15680/IJIRSET.2015.0506288
出版社：S&S Publications
摘要：Clustering is the most important technique in data mining. In data mining, clustering is very useful todiscover various similar patterns in the underlying data. The implementation of clustering algorithms are distance metricbased similarity measure in order to partition the database such that data points in the same partition are more similar thanpoints in different partitions. In this paper, the comparison of six clustering algorithms namely hierarchical clusteranalysis, k-means and fuzzy c-means algorithms, VFC-SA, UHAC-SA, PCA-UHAC-SA in infrared analysis on seven oralcancerous FTIR datasets. The results show the performance of all the proposed algorithms and its implementation.
