Cluster Analysis of Medical Research Data using R
Cluster analysis divides the data into groups that are meaningful, useful or both. It is also used as a starting point for other purposes of data summarization. This paper discuss some very basic algorithms like K-means, Fuzzy C-means, Hierarchical clustering to come up with clusters, and use R data mining tool. The results are tested on the datasets namely Online News Popularity, Iris Data Set and from UCI data repository and mi RNA dataset for medical data analysis. All datasets was analyzed with different clustering algorithms and the figures we are showing is the working of them in R data mining tool. Every algorithm has its uniqueness and antithetical behavior
