f9deab98c68d4bbbc92313d9cf01ecd5d89eceec,examples/plot_kmeans_poincare_disk.py,,main,#,20

Before Change


    //         color="red",
    //         point_type=manifold.point_type)

    print("Data_labels",)

    plt.show()

After Change



    labels = kmeans.predict(X=merged_clusters)

    visualization.plot(
            merged_clusters[labels==0],
            ax=ax,
            space="H2_poincare_disk",
            marker=".",
            color="red",
            point_type=manifold.point_type)

    visualization.plot(
            merged_clusters[labels==1],
            ax=ax,
            space="H2_poincare_disk",
            marker=".",
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: geomstats/geomstats
Commit Name: f9deab98c68d4bbbc92313d9cf01ecd5d89eceec
Time: 2020-01-23
Author: hadizaatiti@gmail.com
File Name: examples/plot_kmeans_poincare_disk.py
Class Name:
Method Name: main


Project Name: geomstats/geomstats
Commit Name: f9deab98c68d4bbbc92313d9cf01ecd5d89eceec
Time: 2020-01-23
Author: hadizaatiti@gmail.com
File Name: examples/plot_kmeans_poincare_disk.py
Class Name:
Method Name: main


Project Name: rtavenar/tslearn
Commit Name: 495d64386cb00b6be050475bbff545e0a0115e94
Time: 2020-03-27
Author: johann.faouzi@gmail.com
File Name: tslearn/docs/examples/plot_lb_keogh.py
Class Name:
Method Name:


Project Name: geomstats/geomstats
Commit Name: 418112c64bde99cb342140fc0e5769a22969773e
Time: 2020-01-23
Author: hadizaatiti@gmail.com
File Name: examples/plot_kmeans_poincare_disk.py
Class Name:
Method Name: main