Anisotropic View Distance Metric for High-Dimensional Data: Theory, Geometry, and Fast Computation

K-Means clustering algorithm is one of the most commonly used clustering algorithms because of its simplicity and efficiency. K-Means clustering algorithm based on Euclidean distance only pays attention to the linear distance between Euclidean distance is an efficient and interpretable similarity me