K-Means Clustering for Horse Colic Data

Abstract: Equine colic is a relatively common disorder of the digestive system. Although the term colic, in the true definition of the word, simply means �abdominal pain,� the term in horses refers to a condition of severe abdominal discomfort characterized by pawing, rolling, and sometimes the inability to defecate. Clustering is one of the unsupervised learning method in which a set of essentials is separated into uniform groups. The k-means method is one of the most widely used clustering techniques for various applications Cluster analysis for Horse colic data sets has proved to be a useful tool for identifying biologically relevant groupings of genes and samples. In this paper the K-means algorithm is used for clustering Horse Colic Data Set.

Keywords: Data mining, Clustering, K-Means Clustering, Horse colic.