A heuristic approach for finding similarity indexes of multivariate data sets
Multivariate data sets (MDSs), with enormous size and certain ratio of noise/outliers, are generated routinely in various application domains. A major issue, tightly coupled with these MDSs, is how to compute their similarity indexes with available resources in presence of noise/outliers - which is...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2020
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/87601/ http://psasir.upm.edu.my/id/eprint/87601/1/ABSTRACT.pdf |