A medoid-based weighting scheme for nearest-neighbor decision rule toward effective text categorization

A medoid-based weighting scheme for nearest-neighbor decision rule toward effective text categorization

Abstract The k-nearest-neighbor (kNN) decision rule is a simple and robust classifier for text categorization. The performance of kNN decision rule depends heavily upon the value of the neighborhood parameter k. The method categorize a test document even if the difference between the number of membe...

Full description

Bibliographic Details
Main Authors: Avideep Mukherjee, Tanmay Basu
Format: Article
Language:English
Published: Springer 2020-05-01
Series:SN Applied Sciences
Subjects:
kNN classifier
Text categorization
Data mining
Machine learning
Online Access:https://doi.org/10.1007/s42452-020-2738-8

Internet

https://doi.org/10.1007/s42452-020-2738-8

Similar Items