A CLUSTERING METHOD BASED ON K-MEANS ALGORITHM

Investigation of this paper depicts the conduct of K- implies calculation. Through this paper we have attempt to conquer the impediments of K-implies calculation by proposed calculation. Fundamentally genuine K-mean calculation takes parcel of time when it is applied on a huge data set. That is the reason the proposed bunching idea comes into picture to give fast and productive grouping method on huge informational index. In this paper execution assessment is finished proposed calculation utilizing Max Hospital Diabetic Patient Dataset.