Elbow Method – Metric Which helps in deciding the value of k in K-Means Clustering Algorithm

2 min read

Here in this article, I am going to explain the information about the method, which is helping in deciding the value of the k which you can use for the clustering of the data using the K-Means clustering algorithm. In the past, we do not have any techniques to clustering the data by some means. We have to label it separately on the go by having good knowledge in that field. If you do not have the knowledge of the domain you are dealing with you can not distinguish between them. Suppose you have a lot of content about the…...

This article is free to read

Login to read the full article


OR

By subscribing to our main site, you will also be subscribed to DDIntel - our regular letter showcasing our featured articles and applications.

Jayesh Manani Jayesh Manani is Computer Engineering Graduate. He has worked with some companies like Allevents.in and Torrent Pharmaceuticals Ltd. as a Data Science Engineer. Currently working at IIM Ahmedabad as Research Associate and working on analytical projects like text analysis and social media analysis with Professor at Indian Institute of Management, Ahmedabad. He is also good at Web Scraping and Machine Learning. He made some of the scrapers which can be used for the analysis of the social media data and companies can take many decisions based on the result of the analysis. He also writes about technology on Medium.com, How to use the technology and algorithms to deal with the problem faced by common people in daily life. Jayesh is passionate about technology and life. He is pretty interested in Automation, Artificial Intelligence, Blockchain, IoT, Data Science, and the impact that can be introduced by technology to our society and life.