Gender Wise Student Performance Analysis Using Clustering Technique of Data Mining

Data mining in educational field is a major application of data mining, it use machine learning to learn from data by studying algorithms and their constructions. In Data mining, clustering is the task of grouping aset of objects in such a way that objects in the same group are more similar to each other than to those in other groups. There are too many algorithms for clustering technique but k-mean algorithm is easy to interpret and understand so, in this paper clustering K-mean algorithm is discussed and applied on students data sets to find the gender wise performance in theory and practical subjects of computer science course. K-mean algorithm is implemented on student’s dataset using WEKA tool.