O'Reilly logo

Apache Mahout Clustering Designs by Ashish Gupta

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Understanding different clustering techniques

A number of different clustering techniques are available in the area of machine learning and data mining. There are algorithms based on these different techniques. Let's see these different techniques:

Hierarchical methods

In this clustering method, the given data is divided hierarchically. To help you understand this, let's take an example of animals' class hierarchy. We have two groups, invertebrate and vertebrate, but we can combine them into one animal class. Hierarchical clustering can be done using two approaches, which are:

  • The top-down approach: This is also called the divisive approach. In this approach, all the datasets start with one cluster, and each iteration cluster is further divided

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required