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Clover plot: Versatile visualization in nonparametric classification *
Author(s) -
Dvořák Jiří,
Hudecová Šárka,
Nagy Stanislav
Publication year - 2020
Publication title -
statistical analysis and data mining: the asa data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.381
H-Index - 33
eISSN - 1932-1872
pISSN - 1932-1864
DOI - 10.1002/sam.11481
Subject(s) - visualization , computer science , plot (graphics) , nonparametric statistics , pattern recognition (psychology) , artificial intelligence , data mining , statistics , mathematics
A versatile visualization tool that aggregates several classification techniques is proposed and studied. In the clover plot we combine four complementary classifiers—the depth‐depth plot, the bagdistance plot, an approach based on the illumination, and the classical diagnostic plot based on Mahalanobis distances. An interactive R implementation of this tool, including several model examples of its use, is freely available online.