Archives for k-means
In recent times, there has been a lot of emphasis on Unsupervised learning. Studies like customer segmentation, pattern recognition has been a widespread example of this which in simple terms we can refer to as Clustering. We used to solve our problem using a basic algorithm like K-means or Hierarchical Clustering. With the introduction of Gaussian mixture modelling clustering data points have become simpler as they can handle even oblong clusters. It works in the same principle as K-means but has some of the advantages over it.
The post Gaussian Mixture Model Clustering Vs K-Means: Which One To Choose appeared first on Analytics India Magazine.
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.
In the age of the internet, leveraging data to manipulate the likes and dislikes of people has become a common strategy of global firms and government organisations alike. Every person is reduced to a data point. Photos on social media, most clicked videos or products, even the time spent watching an advertisement is being used…
The post The Right To Be Forgotten: When You No Longer Want To Be A Datapoint appeared first on Analytics India Magazine.