Mini Batch K-means in RapidMiner
I have a huge dataset (4000000 records) of text data and I want to do clustering.
Because of memory problems and time complexity of text pre-processing I want to read small batches from database and after pre-processing use mini-batch K-means to cluster data. But I wonder how to use mini-batch clustering in RapidMiner.
Thanks in advance for your answers.