I work with partial_fit of Birch because the dataset is too huge to load into memory.
So I cluster data batch by batch. eg: I have 50000 samples and every batch contain 1000 samples. I found clustering result is better if I cluster data which contain part of last batch better than cluster data which doesn't contain previous data. So I want to know how partail_fit works.
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