首页> 外国专利> Affinity-based clustering of vectors for partitioning the columns of a matrix

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 method for partitioning the columns of a matrix A. The method includes providing the matrix A in a memory device of a computer system. The matrix A 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 method further includes executing an algorithm by a processor of the computer system. Executing the algorithm includes partitioning the n columns of the matrix A into a closed group of p clusters, wherein p is a positive integer of at least 2 and less than n, wherein the partitioning includes an affinity-based merging of clusters of the matrix A, and wherein each cluster is a collection of one or more columns of A.
机译:一种用于划分矩阵A的列的方法。该方法包括在计算机系统的存储设备中提供矩阵A。矩阵A具有n列和m行,其中n是至少3的整数,并且其中m是至少1的整数。该方法还包括由计算机系统的处理器执行算法。执行算法包括将矩阵A的n列划分为p个簇的封闭组,其中p为至少2且小于n的正整数,其中该划分包括基于亲和力的矩阵A簇的合并,其中每个群集是A的一个或多个列的集合。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号