10.1371/journal.pone.0191064.g003
Jianfang Cao
Jianfang
Cao
Yanfei Li
Yanfei
Li
Yun Tian
Yun
Tian
Comparison of the average classification accuracies of different algorithms for different numbers of classification categories.
Public Library of Science
2018
personalities show
classification system
classification accuracies
single-node architecture
Hadoop cluster environment
training sample size
Support Vector Machine
image classification
mood factors
scene images
image semantics
Emotional modelling
KNN-SVM algorithm
training time
network technology
k-Nearest Neighbour
programming model
SUN Database
classification effect
cluster environment
OCC emotion model
2018-01-10 18:44:11
Figure
https://plos.figshare.com/articles/figure/Comparison_of_the_average_classification_accuracies_of_different_algorithms_for_different_numbers_of_classification_categories_/5776518
<p>Comparison of the average classification accuracies of different algorithms for different numbers of classification categories.</p>