Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
be a scalar. While the entire row becomes a vector. Each row will contain all the values for each feature. Similarly, each column can be considered as a vector. As the data can be represented in the form of vectors all the transformations which can be applied to the vectors will now hold well for