• Home
  • Contact
Menu
  • Home
  • Contact

Category: clustering

Hierarchical Clustering

  • August 5, 2019June 27, 2021
  • by Niranjan B Subramanian

Hierarchical clustering is the second most popular technique for clustering after K-means.  Remember, in K-means; we need to define the number of clusters beforehand. However, in hierarchical clustering, we don’t have to specify the number of […]

Continue readingMore Tag

Optimal k in K-means

  • July 15, 2019June 27, 2021
  • by Niranjan B Subramanian

A major challenge in the K-means algorithm is choosing the optimal value of k; however, selecting the right value of k is quite tricky and is also crucial as it can impact the performance of the […]

Continue readingMore Tag

Introduction to K-means

  • July 11, 2019June 27, 2021
  • by Niranjan B Subramanian

K-means clustering is one of the simplest unsupervised learning algorithms that solve the well known clustering problem. Before we venture into K-means, let’s first understand what clustering is? What is clustering? The idea behind clustering is […]

Continue readingMore Tag

Copyright © 2019 AI ASPIRANT | All Rights Reserved.