Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data
Project description
Title: Regression-based heterogeneity analysis to identify overlapping subgroup structure in high-dimensional data
Author: Z. Luo, X. Yao, Y. Sun, and X. Fan.
Code maintainer: Z. Luo (2017100369@ruc.edu.cn)
Corresponding author email: sunyifan@ruc.edu.cn
===============
Session information for Python:
===============
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numpy 1.21.2
openpyxl 3.0.9
pandas 1.3.3
scikit-learn 1.0.1
scipy 1.7.1
seaborn 0.11.2
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Python standard library (built-in library):
datetime
heapq
json
multiprocessing
os
pathlib
re
sys
warnings
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Python 3.9.5 [Clang 10.0.0 ]
macOS-10.16-x86_64-i386-64bit
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IDE
spyder-kernels 2.1.3
In case of any other unlisted libraries, users can use the latest version.
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Files structure
=============
HeterOverlap/
CHANGES.txt
LICENSE.txt
MANIFEST.in
README.txt
setup.py
heteroverlap/
__init__.py
source.py
utilis.py
Python files
1) source.py: this file includes the source algorithm of the proposed method.
2) utilis.py: this file includes the data generation function and evaluation function.
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