Innovative Teaching-Learning Process: Categorical Clustering Data

Abstract

Clustering is process, grouping a set of physical or abstract objects into classes of similar objects. Clustering techniques can be broadly classified into many categories; partitioning, hierarchical, density-based, grid-based, model-based algorithms. The present study is intended to explore the categorical clustering data. The objectives of the study were to explore the levels of categorical data clustering among the students pursuing Engineering courses in Hyderabad District of Telangana State with special reference to gender. A self-developed questionnaire was administered on the selected sample of one hundred and eighty students pursuing Engineering courses. The results revealed that there is a statistically significant difference in categorical data clustering with reference to gender as well as managementImplications and suggestions for further research were also portrayed.