Clustering or cluster analysis is an unsupervised learning problem. It is often used as a knowledge analysis technique for locating interesting patterns in data, like groups of consumers supported their behaviour. There are many clustering algorithms to settle on from ...

Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There ...