Title:
METHOD AND APPARATUS FOR MEASURING PERFORMANCE OF SUPPORT POINT OF METRIC SPACE, AND RELATED ASSEMBLY
Document Type and Number:
WIPO Patent Application WO/2022/217748
Kind Code:
A1
Abstract:
A method and apparatus for measuring the performance of a support point of a metric space, and a related assembly. The method comprises: acquiring an experimental data set, abstracting data in the experimental data set into n data points in a metric space, and then respectively selecting k support points from among the data points by using different support point selection methods (S101); for the k support points, which are selected according to each support point selection method, taking data points to be queried as query points (S102); on the basis of the principle of a triangle inequality, classifying the data points into excludable data points and non-excludable data points by using a preset query radius (S103); determining the number of instances of distance calculation for the k support points by using a bit operation method (S104); and comparing the numbers of instances of distance calculation for the k support points corresponding to the different support point selection methods, and determining the performance difference between the support point selection methods (S105). By means of the method, a support point selection method having the optimal performance can be quickly selected from among a plurality of different support point selection methods.
Inventors:
MAO RUI (CN)
CHEN RUBIN (CN)
LU MINHUA (CN)
WANG YI (CN)
LIU GANG (CN)
LU KEZHONG (CN)
CHEN QIANTING (CN)
CHEN RUBIN (CN)
LU MINHUA (CN)
WANG YI (CN)
LIU GANG (CN)
LU KEZHONG (CN)
CHEN QIANTING (CN)
Application Number:
PCT/CN2021/102679
Publication Date:
October 20, 2022
Filing Date:
June 28, 2021
Export Citation:
Assignee:
SHENZHEN INST OF COMPUTING SCIENCES (CN)
International Classes:
G06F16/901
Foreign References:
| CN106503245A | 2017-03-15 | |||
| CN111831660A | 2020-10-27 | |||
| CN106528790A | 2017-03-22 | |||
| US20200152320A1 | 2020-05-14 |
Other References:
LI XINGLIANG: "Study on Pivot Selection of Metric-Space Indexing", MASTER THESIS, TIANJIN POLYTECHNIC UNIVERSITY, CN, no. 1, 15 January 2018 (2018-01-15), CN , XP055977215, ISSN: 1674-0246
Attorney, Agent or Firm:
SHENZHEN TALENT PATENT SERVICE (CN)
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