Unsupervised Data Classification Using Modified Cuckoo Search Method

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.