Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
dimensions into low dimension subspace by creating a new set of components that carry most of the essential information of all the features. 2.These new components are a linear combination of all the features and the components thus formed are nothing but the eigenvectors which are now called the