A Novel Approach for Human Intelligence Analysis: Using Clustering Technique

The purpose of this paper is to examine the relationship between various Intelligent Quotient tests as proposed by different researcher and reduce the gap present in the process of Intelligence evaluation of a student. To carry out this research, we conducted a survey on the students of Netaji Subhash Institute of Technology, Patna (Bihar). The first Step of IQ analysis was performed on the students from different streams of Engineering and Polytechnic of NSIT, Patna. Initially, the data size was 70. In the second Stage we collected and conducted the test on 300 students from different colleges from various disciplines and performed thorough analysis using the model. We have used Machine Learning algorithm to develop the robust model that can reduce the conceptual gap and evaluate the Intelligent Quotient of students in a very effective way