Introduction to KEA-Means Algorithm for Web Document Clustering

To solve this problem, this paper introduces a new clustering algorithm known as KEA-Means algorithm which will combines the kea i.e. key phrase extraction algorithm which returns several key phrases from the source documents by using some machine learning language by creating model which will contains some rule for generating the no. of clusters of the web documents from the dataset .this algorithm will automatically generates the number of clusters at the run time here. User need not to specify the no. of clusters. This Kea-means clustering algorithm provides the value of k and will be beneficial to extract test documents from massive quantities of resources.