I am new to KNIME, so please forgive my question if it has been asked before. I have a data set of approx. 50 million rows with up to 50 attributes and I would like to perform a simple k-means clustering algorithm to the data. I have two questions really:
1) is KNIME accessible to multi-threading and parallelisation?
2) what would be the run-time with and without parellelisation for k-means with this size data set?
Many thanks for your time and help