Open AccessResearch on Similarity Measurement Algorithm of High-dimensional Data
Author(s) -
Jianhua Zhang,
Xiaojun Meng,
Huidong Huangfu,
Jing Zhou,
Haiyan Chen,
Jiachen Shen,
Peng Zhang,
Wei Tao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1971/1/012085
Subject(s) - similarity (geometry) , adaptability , data mining , computer science , algorithm , artificial intelligence , image (mathematics) , ecology , biology
The similarity measurement of high-dimensional data is an important research content in data mining and other fields. Aiming at the shortcomings of the traditional similarity measurement algorithms, a new measurement algorithm is proposed. The results of comparison with traditional algorithms show that new algorithm can quantitatively and intuitively reflect the similarity of two sets of high-dimensional data, and has strong adaptability and superiority.