There are different approaches and algorithms to perform clustering tasks which can be divided into three sub-categories: Partition-based clustering: k-means,

The recommender system produces a list of recommendations such as movies to see, products to buy, news to read, and

Adaboost stands for Adaptive Boosting where a set of simple and weak classifiers is used to achieve an improved classifier

Categorical features usually indicate the type of observation. For instance, "Gender" can have two categories such as 'male'