Xu, Jianhua; Liu, Jiali; Yin, Jing; Sun, Chengyu (2016). A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously. In Knowledge-Based Systems, 98(), 172--184.
HumanGO
mldr.datasets::get.mldr("HumanGO")
Summary
Instances | 3106 |
---|---|
Attributes | 9858 |
Inputs | 9844 |
Labels | 14 |
Labelsets | 85 |
Single labelsets | 28 |
Max frequency | 718 |
Cardinality | 1.1851 |
Density | 0.0847 |
Mean IR | 15.2893 |
SCUMBLE | 0.0203 |
TCS | 16.2763 |
Citation
Xu, Jianhua; Liu, Jiali; Yin, Jing; Sun, Chengyu (2016). A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously. In Knowledge-Based Systems, 98(), 172--184.
@article{,
title={A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously},
author={Xu, Jianhua and Liu, Jiali and Yin, Jing and Sun, Chengyu},
journal={Knowledge-Based Systems},
volume={98},
pages={172--184},
year={2016},
publisher={Elsevier}
}
Concurrence plot
In this concurrence plot, sectors represent labels and links between them depict label co-occurrences. SCUMBLE is a measure designed to assess the concurrence among imbalanced labels.