Questions about T-SNE about moon

[QinbinLi]

Hi @knight-fzq ,

I used sklearn TSNE to generate the results. Here is the sample code for your reference, where features is the feature representations array and targets is the labels array of the input data.

        from sklearn.manifold import TSNE
        import matplotlib.pyplot as plt
        import pandas as pd
        import seaborn as sns

        df = pd.DataFrame()
        tsne = TSNE(n_components=2, verbose=1, perplexity=40, n_iter=300)
        tsne_results = tsne.fit_transform(features)
        df['y'] = targets
        df['tsne-2d-one'] = tsne_results[:,0]
        df['tsne-2d-two'] = tsne_results[:,1]
        fig = plt.figure()
        ax = fig.add_subplot(111)
        sns.scatterplot(
            x="tsne-2d-one", y="tsne-2d-two",
            hue="y",
            palette=sns.color_palette("tab10", 10),
            data=df,
            legend="full",
            alpha=0.8,
            s=5,
            ax=ax
        )
        ax.legend(title='class ID', loc='upper left')
        plt.axis('off')
        plt.show()

[knight-fzq]

Thank you very much.

[fanfan-97]

I would like to ask you if you have succeeded in reproduction? I also recently read this article to try to reproduce it, but it has been unsuccessful.