本文简要介绍 python 语言中 scipy.spatial.KDTree.sparse_distance_matrix 的用法。 用法: KDTree.sparse_distance_matrix(other, max_distance, p=2.0, output_type='dok_matrix')# 计算稀疏距离矩阵。 计算两个 KDTree 之间的距离矩阵,任何大于 max_distance 的距离都为零。 参数 :: other: KD树 max_...
RESULTS. In this work, we propose a new algorithm which does not require computing a dense distance matrix. Instead, it dynamically determines a sparse set of at most O(n log n) distance matrix entries to be computed in its basic version, and up to O(n log 2n) entries in an enhanced...
This means that the current upperbounds by Yuster cannot be improved without improving the sparse matrix multiplication algorithm by Yuster and Zwick~(ACM TALG'05) and vice versa. 展开 关键词: Computer Science - Data Structures and Algorithms ...
Sparse matrix transform (SMT) for hyperspectral image processing (Low-rank and Sparse matrix decomposition-based Mahalanobis distance for Anomaly Detection)方法.该方法分为三个部分:(1)基于异常目标的数量稀疏性,背景的低秩性... J Theiler,G Cao,LR Bachega,... 被引量: 45发表: 2011年 加载更多来源...
# 需要导入模块: from scipy.spatial import KDTree [as 别名]# 或者: from scipy.spatial.KDTree importsparse_distance_matrix[as 别名]deflj_given_kd_tree(kd, positions, distance=2.5):raiseNotImplementedError()# TODO CSC sparse matrices can't do most of the things we need to do in LJ (fancy...
Ko篓nig, "Advanced methods for 3D magnetic localization in industrial process distributed data- logging with a sparse distance matrix," in Soft Computing in Industrial Applications, vol. 223 of Advances in Intelligent Systems and Computing, pp. 149-156, Springer, Berlin, Germany, 2014....
fine-grained complexitymatrix multiplicationhigh dimensional geometrypattern matchingWe show that a broad class of (+, diamond) vector products (for binary integer functions diamond) are equivalent under one-to-polylog reductions to the computation of the Hamming distance. Examples include: the dominance...
Hamming distance completeness and sparse matrix multiplicationDaniel GrafKarim LabibPrzemyslaw Uznanski
Rivera. Modeling data locality for the sparse matrix-vector product using distance measures. Parallel Computing, 27(7) :897 -- 912, 2001.D. B. Heras, J. C. Cabaleiro, and F. F. Rivera, "Modeling data locality for the sparse matrix-vector product using distance measures," Parallel ...
Aurelie C. Lozano, Huijing Jiang, and Xinwei Deng. Robust sparse estimation of multiresponse regression and inverse covariance matrix via the l2 distance. In KDD '13, pages 293-301, 2013.A. C. Lozano, H. Jiang, and X. Deng. Robust sparse estimation of multiresponse regression and inverse ...