/Python/Find optimal number of clusters sklearn

Find optimal number of clusters sklearn

# Import library
from clusteval import clusteval

# Set parameters, as an example dbscan
ce = clusteval(method='dbscan')

# Fit to find optimal number of clusters using dbscan
results= ce.fit(X)

# Make plot of the cluster evaluation
ce.plot()

# Make scatter plot. Note that the first two coordinates are used for plotting.
ce.scatter(X)

# results is a dict with various output statistics. One of them are the labels.
cluster_labels = results['labx']

Source: stackoverflow.com

Similar codes

142 votes314 views6 answers
Write to file python
Python
17 votes281 views1 answer
Take off character in python string
Python
0 vote252 views1 answer
Print e
Python
0 vote284 views1 answer
Iterate colors matplotlib
Python
0 vote270 views1 answer
Selenium python chrome path
Python
4 votes285 views2 answers
Change django admin title
Python
0 vote297 views2 answers
How to avoid inserting duplicate records in orm django
Python Django
-1 vote274 views1 answer
Histogram image processing python
Python
0 vote292 views1 answer
Python Textfeld lköschen
Python
1 vote272 views1 answer
Django change value and save model object
Python Django