/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

3 votes135 views4 answers
How to Copy a File in Python?
Python
0 vote147 views1 answer
Pass arguments with apply
Python
0 vote164 views7 answers
Convert java code to python online
Python
16 votes127 views6 answers
Show all columns in pandas
Python
0 vote125 views1 answer
Python django if key exists
Python Django
0 vote137 views1 answer
Sorting algorithms in python
Python
0 vote133 views1 answer
Example 1: Reset Index & Drop Old Index pandas
Python
0 vote158 views1 answer
Custom pylatex command
Python
0 vote145 views1 answer
How to standardize the image data to have values between 0 and 1
Python
2 votes149 views2 answers
How to change key to value and versa in python dictionary
Python