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Update README.md
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README.md

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@@ -144,12 +144,12 @@ kpca = KernelPCA(parameter);
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% train KPCA model
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kpca.train(data);
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% mapping data
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mappingData = kpca.score;
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% reconstructed data
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reconstructedData = kpca.newData;
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% Visualization
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kplot = KernelPCAVisualization();
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kplot.reconstruction(kpca)l);
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kplot.reconstruction(kpca)
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```
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<p align="center">

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