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CrazyDaffodils/t-SNE

Last active January 13, 2020 23:43
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t-SNE
from sklearn.manifold import TSNE
import seaborn as sns
#Visualize data using t-SNE.
model = TSNE(learning_rate = 10, n_components = 2, random_state=123, perplexity = 30)
tsne = model.fit_transform(X_std)
tsne_df = pd.DataFrame(data=tsne, columns=['t-SNE1','t-SNE2']).join(labels)
palette = sns.color_palette("muted", n_colors=5)
sns.set_style("white")
sns.scatterplot(x='t-SNE1',y='t-SNE2',hue='Class',data=tsne_df, palette=palette, linewidth=0.2, s=30, alpha=1).set_title('t-SNE')
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