Let us understand the categories of unsupervised learning algorithm.

Categories of Unsupervised Learning Algorithm :

1} Clustering :
• Clustering is a method of grouping objects into clusters.
• Objects with most similarities are put in one group and which has less or no similarities with the objects of another group.
• Clustering analysis aim is to find similarities between data objects and categorize them based on presence and absence of similarities.

2} Association :
• Association rule is an unsupervised learning method which is used to find the relationship between variables in large database.
• It determines the set of items that occurs together in the database.
• Association rule helps in making marketing strategy more effective.