Unsupervised Learning Cheat Sheet

Unsupervised Learning is a machine learning technique where label data isn’t given to us. It looks for unidentified patterns without having pre-defined labels and with a minimum human supervision. It is used for more complex tasks compared to supervised learning. Few examples of unsupervised learning are as follows:

– Clustering: Clustering restaurants based on dishes
– Association: Recommendation System where people buy X also buy Y

• k-means clustering
• Hierarchical clustering
• Clustering assessment metrics
• Principal component analysis
• Independent component analysis