The K-means algorithm is a popular clustering method for finding a partition of N unlabeled observations x1, x2, . . . , xN ∈ Rd into K distinct clusters, where K is a parameter of the method. Kmeans ...
Abstract: This paper presents the following inverse eigenvalue problem for generalized periodic Jacobi matrices: Given two unequal real numbers and nonzero vectors. Find n steps real generalized ...
Abstract: Due to the permantly increasing computing power eigenvalue decompositions in real time embedded systems become more and more feasible. Applying a series of orthogonal similarity transforms, ...
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