Classification using k-means clustering applied to heart disease prediction

Abstract

Machine Learning is a milestone to reach artificial intelligence and deep learning. It provides various types of powerful algorithms for various types of problems like recognizing patterns, classifying data, segmentation of data and so on. Machine Learning is a child now, but it grows every day. I mean, Machine Learning is a huge platform, growing every day. So, it still remains unknown for the majority of people, and even for most professionals. This project intends to provide an understandable explanation of what Machine Learning is, what types are there and how Machine Learning can be used. As well as solving a real data classification problem (Classification using K-Means Clustering applied to heart disease prediction), first using K-means algorithm to segment the data, and then classify a new data point according to its nearest cluster or segment, as an introduction to this field.