increase iterations and perplectity and early_exaggeration
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@ -24,7 +24,7 @@ mat = np.stack(mat)
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mat = mat + np.tril(mat.transpose(),k=-1)
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dist = 2*np.arccos(mat)/np.pi
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tsne_model = TSNE(2,learning_rate=200,perplexity=40,n_iter=5000,metric='precomputed')
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tsne_model = TSNE(2,learning_rate=500,perplexity=50,n_iter=10000,metric='precomputed',early_exaggeration=20,n_jobs=-1)
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tsne_fit_model = tsne_model.fit(dist)
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@ -1 +0,0 @@
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.git/annex/objects/31/xz/SHA256E-s60874--1962019cb0736d0a3174876c245880dac69aa2cc7e739b63d003e002c0b28218/SHA256E-s60874--1962019cb0736d0a3174876c245880dac69aa2cc7e739b63d003e002c0b28218
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1
tsne_subreddit_fit.feather
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tsne_subreddit_fit.feather
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@ -0,0 +1 @@
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/annex/objects/SHA256E-s60874--4229a568aa0abe9b0ac6be4c5c7c0231ca49cbbde9bc748347013bb8b2535dd9
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