Project information

Abstract

The blooming of machine learning and deep learning is starting to raise the demand for using data to solve our real-world problem. But not all the data collected is crisp, which may contain fuzziness. Unsupervised clustering in a fuzzy logic or fuzzy c-mean is one of the most commonly used methods in data mining when dealing with uncertainty or vague dataset. In this paper, we will study the difference between the clustering method of using the Hard C-Mean and Fuzzy C-Mean method. We will highlight the best cluster found by HCM and FCM.