Unsupervised data classification using modified cuckoo search method
Ankur Kulhari, Avinash Chandra Pandey, Raju Pal, Himanshu Mittal · 2016
Data clustering is one of the widely used data analysis methods which groups the unlabeled data into similar clusters. Classical data clustering methods under-performs to cluster multi-dimensional dataset such as micro arrays datasets. Therefore, this paper introduces a novel metaheuristic gauss-based cuckoo search clustering method to extend the capabilities of traditional clustering methods. The efficacy of proposed data clustering method has been tested on the three micro-array datasets. From the experimental results effectiveness of proposed method has been observed.