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Affinity-based clustering of vectors for partitioning the columns of a matrix

机译:向量的基于亲和力的聚类,用于划分矩阵的列

摘要

A computer system for partitioning the columns of a matrix A. The computer system includes a processor and a memory unit coupled to the processor. Program code in the memory unit, when executed by the processor, implements the method. Matrix A is provided in a memory device and has n columns and m rows; wherein n is an integer of at least 3; and wherein m is an integer of at least 1. The n columns is partitioned into a closed group of p clusters, p being a positive integer of at least 2 and less than n. The partitioning includes an affinity -based merging of clusters of pairs of clusters of the matrix A based on an affinity between the clusters in each pair of clusters being merged. Each cluster consists of one or more columns of matrix A. The p clusters are stored in a computer-readable storage device.
机译:一种用于划分矩阵A的列的计算机系统。该计算机系统包括处理器和耦合至该处理器的存储单元。当由处理器执行时,存储单元中的程序代码实现该方法。矩阵A位于存储设备中,具有n列和m行;其中n是至少3的整数;其中m为至少1的整数。n列被划分为p个簇的封闭组,p为至少2且小于n的正整数。分区包括基于要合并的每一对集群中的集群之间的亲和度的矩阵A的集群对的集群的基于亲和度的合并。每个群集由一列或多列矩阵A组成。p个群集存储在计算机可读存储设备中。

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