An Empirical Study to Predict Diabetes Mellitus using K-Means and Hierarchical Clustering Techniques

Diabetes is a serious disease which is increasing at an alarming rate all over the world and it may cause some longterm issues such as affecting the eyes, heart, kidneys, brain, feet and nerves. The best way to prevent diabetes is to control blood glucose and take care of yourself. So, to delay these problems we have to identify the disease and possibly in the early stage of the disease in our body to control over it. From this thinking, in this paper we have analyzed on a diabetes dataset to predict diabetes using two popular Machine Learning algorithms K-means and Hierarchical Clustering as we know that Machine Learning is a crucial division of algorithm which is playing a very important role to predict human diseases in this decade.