Data Science Asked on July 9, 2021
I use the DCC algorithm to cluster some data.
The whole algorithm is available here, but shortly it is:
full algorithm with link to the article
Could you possibly guess why am I getting the most of the data in the first 0-index cluster (consistently, with tuning all of the hyperparameters) ?
The data has good potential for a very good clustering as I can see from the tSNE visualization of the output. But the clustering isn’t good. I thought maybe to enlarge the k parameter of the mKNN graph construction, but it didn’t work for that, just reduces the whole amount of clusters, but the data samples continue to clash into one cluster.
Any suggestion and theoretical discussion is welcomed.
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