Hybrid K-Mean Algorithm with Whale Optimization Algorithm for Textual Clustering

Abstract

Now a day’s large amount of data unstructured information organize and retrieval is most important. Data mining is concepts that organize and retrieve large amount of unstructured dynamic data in data centre. Using optimization technique for solve complex efficiently manner. This proposal is based on optimization technique and it will using textual process. To aim of this work is hybrid k-mean algorithm with Whale optimization Algorithm and form cluster. That is called Hybrid K-Mean Algorithm with Whale optimization algorithm (HKWOA). This algorithm picks the initial point from WOA and Cluster operation work on K-mean. This proposal implement in Java and analysis the efficiency by calculate standard performance metric. Utilize different benchmark dataset for analysis efficiency of algorithm such as Precision, Recall, F-Score, Purity and Entropy. Based on this result clearly prove the Hybrid K-Mean algorithm with Whale optimization algorithm is attained high quality, quantity, accuracy, purity and less disorder cluster formed.