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What is the difference between clustering(classification) algorithm and classification(clustering) algoritm. And how do you model that in Rapid Miner?
I'm a bit unclear as to what you're asking. Clustering and Classification are two different methods of machine learning and use two distinct groups of algorithms. For example a clustering algorithm could use k-means to segment your dataset, whereas a K-nn algortihm can be used for a classification task. You can build a processes that are a hybrid of clustering and classification but the two are distinct types of analysis. Please provide more info on what it is you're trying to accomplish.
I would take a look through the community first. There are several clustering/classification posts to look thru.
Did you see this one? It has a sample process: http://community.rapidminer.com/t5/Data-Mining-Use-Cases/text-mining-classification-amp-clustering-algoeithms/m-p/4751#M393
Also check out our knowledge base here: http://community.rapidminer.com/t5/RapidMiner-Studio-Knowledge-Base/tkb-p/Studio@tkb