Archives for clustering






UPGMA is one of the most widespread hierarchical clustering algorithms because it is easy to understand and fast in practice.
The post How To Do Hierarchical Clustering Using UPGMA appeared first on Analytics India Magazine.
A recommendation engine is a class of machine learning algorithm that suggests products, services, information to users based on analysis of data. Robust recommendation systems are the key differentiator in the operations of big companies like Netflix, Amazon, and Byte Dance (TikTok parent) etc. Alok Menthe, Data Scientist at Ericsson, gave an informative talk on…
The post There Is No Silver Bullet Machine Learning Solution appeared first on Analytics India Magazine.


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.


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.