Think of going into a library with only a single book there, and you are expected to arrange the books. You would most likely begin sorting books by appearance or feel, similar cover art or length or topic, although nobody informed you of the genres. It is the key idea of unsupervised learning: it seeks structure of data in case of no annotated responses. This tutorial explains what is meant by unsupervised learning and why this type of learning is alternative to supervised learning and provides a summary of the most common types of algorithms: Clustering and dimensionality reduction . It also introduces the mathematical intuition behind the underlying basic mathematics of such applications and provides line by line explanation of the K-Means and PCA algorithms in Python. What is Unsupervised Learning — and why it matters? Unsupervised learning Unsupervised learning refers to a group of methods used to determine patterns, clusters or order in data without any target labels. This i...
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