Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
dimensionality reduction of the data. I would further explain the complete working principle of the most commonly used unsupervised dimensionality reduction technique the Principal Component Analysis (PCA). What is the curse of dimensionality? With the unprecedented growth of data collection and