February 2019
Intermediate to advanced
386 pages
9h 54m
English
Content preview from Hands-On Unsupervised Learning with Python
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Online clustering
Sometimes a dataset is too large to fit in memory, or the samples are streamed through a channel and received at different time steps. In this cases, none of the algorithms previously discussed can be employed because they assume to access to the whole dataset since the first steps. For this reasons, some online alternatives have been proposed and they are currently implemented in many real-life processes.
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