Machine Learning, Education, Scikit Learn, Unsupervised Learning, Clustering.
covariance is symmetric, and the covariance of a vector with itself is equal to its dispersion. Therefore the covariance matrix is symmetric with the dispersion of the corresponding features on the diagonal. Non-diagonal values are the covariances of the corresponding pair of features. In terms of