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Wayne added Reconstruct_Dataset_Though_our_algorithm__.md
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##**Reconstruct Dataset**
Though our algorithm can do better than MarkovBin on this dataset, it is not good enough. We still can not separate sp.1 and sp.3 since they are really similar. Maybe we can find some other species to replace sp.1 and/or sp.3 to reach better result.
The GIs in the original dataset are: 158333233, 57238731, 18311643, 148545259, 83591340. We use GI 119718918 to replace 18311643. The relationship between GC-content and logarithm of new group likelihood is shown in Fig. \ref{fig:2}.
The result of MarkovBin is in Table \ref{tab:2} and the result of DirichletCluster is in Table \ref{tab:3}
