~~NOTOC~~ ====== RapidMiner Extension: Fast k-Means ====== This operator represents an implementation of k-Means according to Charles Elkan. In contrast to the standard implementation of k-Means, this implementation is much faster in many cases, especially for data sets with many attributes and a high k value, but it also needs more additional memory. You can find more details in the the following publication: [[http://cseweb.ucsd.edu/~elkan/kmeansicml03.pdf|Using the Triangle Inequality to Accelerate k-Means.]] You can download it from here: {{:rapidminer:fast_kmeans.zip|}} {{:fast_kmeans.png|}} ===== How to install Fast k-Means? ===== Just unzip the Fast_KMeans.zip and copy the Fast_KMeans.jar file into the lib/plugins/ folder within your RapidMiner installation. Then restart RapidMiner and the extension will be loaded automatically. ===== How to use Fast k-Means? ===== You can find the Fast k-Means Operator in the Operator tree in // Modeling ⇒ Clustering and Segmentation //. It is named // k-Means (fast) // and can be used in the same way as the usual k-Means Operator.