Archives for K-means learning algorithm
A very common example of an unsupervised machine learning, clustering is the process of grouping similar data points into a cluster. Given a finite set of data points, clustering aims to find homogeneous subgroups of data points with similar characteristics. In this article, we will learn the basics of a simple clustering algorithm called K-Means…
The post Beginner’s Guide To K-Means Clustering appeared first on Analytics India Magazine.
Unsupervised learning has emerged as the most effective technique for discovering patterns in data. It is also being used to develop labels on top of the supervised models. This is one of the most widely used techniques for market or customer segmentation wherein the company’s data can be segregated into clusters and used to identify…
The post Is K-Means Clustering Really The Best Unsupervised Learning Algorithm? appeared first on Analytics India Magazine.