Principal component ia an unsupervised statistical technique used to examine the interrelations among a set of variablesin order to identify the underlying structure of these variables. It is basically an algorithm for component reduction.

Here cancer data set is used which is having 30 features and 569 instances.The number of dimensions is reduced to 2 principal components for component reduction and useful feature extraction.