Quantitative Techniques PPT File
The K-means algorithm divides a single cluster into K different clusters. It does this by finding organically similar data points and assigning each one to a cluster with similar characteristics. K-means clustering works by constantly trying to find a centroid (a data point that represents the mean or centre of the cluster). The end clusters will each have a centroid and data points that are closer to the centroid compared to the other centroids.
Related
Get new e-books by email:
More on digital marketing in our blog
See all posts
Jeju Air has been South Korea's busiest LCC. Operating on international as…
Pakistan-South Africa Test series has caught the imagination of cricket fans everywhere,…
Cricket fans worldwide are in anticipation as India and Australia compete for…
Social media is now a powerful tool for businesses to reach their…
The various Digital Marketing Courses offered by DIGISMART in West Bengal stand…
Welcome to DIGIS-MART's guide to social media marketing mastery! From design to…
Any website in this age of digital information should be planned in…
In the ever-evolving world of online marketing, staying ahead of the curve…