Unsupervised Learning
Unsupervised Learning Unsupervised learning is where you put data X and no corresponding output variable.The goal for unsupervised learning is to model the under lying structure or distribution in the data in order to learn more about the data, in simple words in unsupervised learning approach the data instances of a training data set do not have an expected output Associated to them instead of unsupervised learning algorithm detects pattern based on innate characteristics of the input data an example of machine learning tasks.Ask that applies unsupervised learning is clustering in this task similar data instance are grouped together in order to identify clusters of data. ALGORITHM 1 K-MEAN ALGORITHM K-MEAN Algorithm hierarchical clustering now, suppose a friend invites you to his party and where you meet totally strangers.Now you will classify them using unsupervised learning as you don’t have any prior knowledge about them and classification can be done on basis of...