Eigenvectors, Principal Component, Dimensionality Reduction, Data Science, Unsupervised Learning.
become a vector since it has both magnitude and direction. Data Sets and Vectors So, when we look at our data which is essentially a matrix containing rows and columns (features). The number of dimensions the dataset has will correspond to the number of features. Each value taken individually will