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Let G(w) be an edge-weighted graph and let A(G(w)) be its adjacency matrix. The positive inertia index (respectively, the negative inertia index) of G(w), ... SSW Li - 《Linear Algebra & Its Applications》 被引量: 0发表: 2019年 On the relation between the positive inertia index...
The coordinates for point A are (3, 2). This means that the x-value is 3 and the y-value is 2. To graph point A on the coordinate plane, start at the origin and go three spaces to the right (because the x-value, 3, is positive) and two spaces upward (because the y-value,...
Considering factorizations of the form X=FG^T, we focus on algori... DingChris H. Q,LiTao,JordanMichael I - 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 919发表: 2010年 Convex and Semi-Nonnegative Matrix Factorizations. We present several new variations on the ...
The authors in [21] introduced the Graph Regularized NMF (GNMF) that modeled the data subspace as a sub-manifold embedded in an ambient space. By learning NMF on such a manifold, GNMF showed better discriminative ability when compared to NMF that only considers the Euclidean space. Semi-NMF ...
We construct an affinity graph to encode the geometrical information and seek a matrix factorization which respects the graph structure. We demonstrate the success of this novel algorithm by applying it on real world problems. 展开 关键词: data handling data structures graph theory matrix ...
On the p-Ranks of the Adjacency Matrices of Distance-Regular Graphs Let 螕 be a distance-regular graph with adjacency matrix A . Let I be the identity matrix and J the all-1 matrix. Let p be a prime. We study the p -rank... R Peeters - 《Journal of Algebraic Combinatorics》 被引...
matrix.Finally,they are integrated into a single objective function.An efficient updating approach was produced and the convergence of this algorithm was also proved.Compared with NMF,GNMF and CNMF,experiments on some face databases show that the proposed method can achieve better clustering results ...
As a consequence we obtain Flor's characterization of nonnegative idempotent matrices and other well- known results.doi:10.1016/0024-3795(89)90377-7Ananda D. GunawardenaS.K. JainLarry SnyderElsevier Inc.Linear Algebra and its Applications