~~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.