GMSDB Clusterer
Project description
GMSDB Clusterer
Use
pip install gmsdblib
Simple use (sklearn -like style), no speed improvement, standard significance level alpha=0.05.
Maximal number of gaussian components=50:
from gmsdblib.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)
Desciption:
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