Archives for clustering - Page 2
Image compression is reducing the size that an image takes while storing or transmitting. Images of high quality take a lot of memory while storing, whereas the low image of low quality takes less memory. There are many ways by which we can compress images, one of which is K-Means Clustering. Here, we will discuss…
The post Beginners Guide to Image Compression using K-Means Clustering 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.
Cluster analysis is the statistical method of grouping data into subsets that have application in the context of a selective problem. This technique is widely used to club data/observations in the right segments so that data within any segment are similar while data across segments are different. However, defining “similar” or “different” observations is a…
The post Clustering Techniques Every Data Science Beginner Should Swear By appeared first on Analytics India Magazine.