Guru Nanak Dev Engineering College
Data clustering became increasingly important in the field of computational statistics and data mining. Many algorithms have been developed in the literature for clustering where k-means clustering and hierarchical clustering are two well-known algorithms to partition the numerical data into groups. Due to the disadvantages of both categories of algorithms, recent researches have focused on hybrid clustering that combines the features of hierarchical and partitional clustering. The present paper developed a novel hybrid clustering algorithm called Integrated Partitional and Hierarchical Clustering algorithm (IPHC) for categorical data.