sum(explained_variance) print('tsne信息值:', explained_variance_ratio) plt.figure() plt.scatter(x_tsne[:, 0][:int(len(X1))], x_tsne[:, 1][:int(len(X1))], color='red', marker='^', alpha=0.5) plt.scatter(x_tsne[:, 0][int(len(X2)):], x_tsne[:, 1][int(len(X2))...
pca_result = pca.fit_transform(hidden_features) print('Variance PCA: {}'.format(np.sum(pca.explained_variance_ratio_))) #Run T-SNE on the PCA features. tsne = TSNE(n_components=2, verbose = 1) tsne_results = tsne.fit_transform(pca_result[:5000]) #---可视化--- y_test_cat = n...
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML - trafilatura/tests/cache/en.wikipedia.org.tsne.html at 2639b2417c6db8e4df1d4f3b42f454076f7fa140 · purin-blog/traf
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML - trafilatura/tests/cache/en.wikipedia.org.tsne.html at bbf7bec12f2d0491c9d0dfc974dab822f4a8a65c · purin-blog/traf
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML - trafilatura/tests/cache/en.wikipedia.org.tsne.html at eb37cf181b6189bd1d2df89a7d11b5f98f6993b9 · purin-blog/traf
{2})}},}"/> As Van der Maaten and Hinton explained: "The similarity of datapoint <math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{\displaystyle x_{j}}"> <semantics> <mrow class="MJX-TeXAtom-ORD"> <mstyle displaystyle="true" scriptlevel="0">...