[scikit-learn] What's the principle of partial_fit?

[lampahome]

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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