Application of Hierarchical Clustering Algorithm to Evaluate Students Performance of an Institute

Machine Learning is the field of computer science that learns from data by studying algorithms and their constructions. In machine learning, predictions can be made by using certain algorithms for specific inputs. In this paper important classification and clustering algorithms are discussed which can be further applied to BE (Information Technology). Third Semester to evaluate student's performance. The performance of students of Digital Electronics of University Institute of Engineering and Technology (UIET), Panjab University (PU) is calculated by applying Hierarchical Clustering Algorithm. Unsupervised Learning Algorithms like K-Means and Hierarchical clustering are discussed and for supervised learning, Naive Bayes and Logistic Regression are discussed. Further the comparisons between the two supervised algorithms and the two unsupervised algorithms are made.