Abstract:
Clustering is the process of grouping data into
classes of clusters so that objects within a cluster
have high similarity in comparison to one another,
but are very dissimilar to objects in other clusters.
K-means clustering is a partitioning method. . Kmeans
clustering algorithm is used to cluster the
student data. The proposed system finds the
relationship between students’ government
technology high school (G.T.H.S) entrance
examination results and their success using cluster
analysis. Euclidean distance measure also used to
calculate the closest centroids for each object.
