How to do MinShift Clustering in Python?

How to do MinShift Clustering in Python?

How to do MinShift Clustering in Python?

This recipe helps you do MinShift Clustering in Python

In [2]:
## How to do MinShift Clustering in Python
def Snippet_160():
    print(format('How to do MinShift based Clustering in Python','*^82'))

    import warnings

    # load libraries
    from sklearn import datasets
    from sklearn.preprocessing import StandardScaler
    from sklearn.cluster import MeanShift
    import pandas as pd
    import seaborn as sns
    import matplotlib.pyplot as plt

    # Load data
    iris = datasets.load_iris()
    X =; data = pd.DataFrame(X)
    cor = data.corr()

    fig = plt.figure(figsize=(10,10))
    sns.heatmap(cor, square = True);

    # Standarize features
    scaler = StandardScaler()
    X_std = scaler.fit_transform(X)

    # Conduct MinShift Clustering
    clt = MeanShift()

    # Train model
    model =

    # Predict clusters
    clusters = pd.DataFrame(model.fit_predict(X_std))
    data['Cluster'] = clusters

    # Visualise cluster membership
    fig = plt.figure(figsize=(10,10)); ax = fig.add_subplot(111)
    scatter = ax.scatter(data[0],data[1], c=data['Cluster'],s=50)
    ax.set_title('MinShift Clustering')
    ax.set_xlabel('X0'); ax.set_ylabel('X1')

******************How to do MinShift based Clustering in Python*******************

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