xeonvs/GMSDB

GMSDB Clusterer algorithm

GMSDB Clusterer

Run for simple test:

python GMSDB.py

Simple use (sklearn -like style), no speed improvement, default significance level alpha=0.1.

Maximal number of gaussian components=50:

from GMSDB import GMSDB

clf=GMSDB(n_components=50)

clf.fit(X)

Y=clf.predict(X)

Complex use (with speed improvement for stages 1 and 3):

clf=GMSDB(min_components=2,step_components=100,n_components=900,rand_search=1000,rand_level=0.5)

Complex use (with custom significance level alpha=0.15):

clf=GMSDB(n_components=50,alpha_stage2=0.15,alpha_stage4=0.15)

Verbose use (show debug information):

clf=GMSDB(n_components=50,verbose=True)

Install with pip

You could install it from PyPI:

pip install gmsdb==2.1

Import:

from gmsdb import GMSDB

Paper:

https://arxiv.org/pdf/2309.02623v2.pdf