期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：3
页码：1050-1056
出版社：Engg Journals Publications
摘要：Data Analysis plays an indispensable role for understanding various phenomena. Clustering algorithms are a class of important tools for data analysis. K-means cluster analysis is considered to cluster protein variates across 3 species using SPSS 16.0. In this Paper we describe an approach to kmeans cluster analysis which grouped the sample data of the three species under study into four apriori groups showed that the three groups are different from one another as evident from marginal inter group differences in the mean values of the clusters as well as the number of cases in each cluster. The analysis also shows that there are sharp intra group differences as reflected in the disproportionate number of cases in each cluster.
关键词：Clustering; Data analysis; K-means cluster analysis; protein variates
