Quantum granular-ball generation methods and their application in KNN classification

Abstract Granular-balls reduce the data volume and enhance the efficiency of fundamental algorithms such as clustering and classification. However, generating granular-balls is a time-consuming process, posing a significant bottleneck for the practical application of granular-balls. In this paper, w...

Full description

Saved in:
Bibliographic Details
Main Authors: Suzhen Yuan, Xiaojiang Tian, Wenping Lin, Shuyin Xia, Jeremiah D. Deng
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-14724-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items