Cluster Based Mining for Prediction of Heart Disease

DM techniques are being extensively used in the area of healthcare and particularly for prediction of heart disease. Clinical dataset of heart patients has been created, which consists of 2139 instances and 8 attributes. After pre-processing of dataset, we have applied 4 clustering algorithms on this dataset in Weka. The clustering outputs are presented.