arrow
Return

Class Representatives Selection in non-metric spaces for nearest prototype classification

delete2025-05-10
delete0
PRE
AI
J
Jaroslav Hlaváč
M
Martin Kopp
T
Tomáš Skopal
DOI:10.1016/j.is.2025.102564delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Novel method for class prototype selection in large datasets. • Enables efficient nearest neighbour classification. • Requires only pair-wise similarity to be defined, hence applicable in non-metric spaces.

Journal

Enterprise Information Systems cover
Enterprise Information Systems
IF:
3.9
Papers:
2.8K
Citations:
1.8K

Organization

No organization information available