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CrazyDaffodils/pca

Last active January 13, 2020 23:33
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pca
from sklearn.decomposition import PCA
import seaborn as sns
#Visualize data using Principal Component Analysis.
print("Principal Component Analysis (PCA)")
pca = PCA(n_components = 2).fit_transform(X_std)
pca_df = pd.DataFrame(data=pca, columns=['PC1','PC2']).join(labels)
palette = sns.color_palette("muted", n_colors=5)
sns.set_style("white")
sns.scatterplot(x='PC1',y='PC2',hue='Class',data=pca_df, palette=palette, linewidth=0.2, s=30, alpha=1).set_title('PCA')
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