Comments on: KNIME - Part V: Parameter optimization of machine learning/statistical methods http://voyagememoirs.com/pharmine/2008/03/23/knime-part-v-parameter-optimization-of-machine-learningstatistical-methods/ Data mining in Pharmacy Sun, 20 May 2012 13:49:28 +0000 http://wordpress.org/?v=2.3.2 By: free website audit report http://voyagememoirs.com/pharmine/2008/03/23/knime-part-v-parameter-optimization-of-machine-learningstatistical-methods/#comment-7568 free website audit report Thu, 22 Dec 2011 11:40:47 +0000 http://voyagememoirs.com/pharmine/2008/03/23/knime-part-v-parameter-optimization-of-machine-learningstatistical-methods/#comment-7568 <strong>free website audit report</strong> [...]KNIME - Part V: Parameter optimization of machine learning/statistical methods | pharmine[...] free website audit report

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]]> By: Anonymous http://voyagememoirs.com/pharmine/2008/03/23/knime-part-v-parameter-optimization-of-machine-learningstatistical-methods/#comment-2175 Anonymous Sun, 02 Jan 2011 15:10:36 +0000 http://voyagememoirs.com/pharmine/2008/03/23/knime-part-v-parameter-optimization-of-machine-learningstatistical-methods/#comment-2175 hi! for a k means clustering you can run a brute force thing collecting the errors by execute the kmeans in a loop. each time the loop is run k gets k+1. then watch the errors on a plot. the ellbow will give you a good k for k-means. I programmed a node which detects this elbow automatically. hi!
for a k means clustering you can run a brute force thing collecting the errors by execute the kmeans in a loop. each time the loop is run k gets k+1. then watch the errors on a plot. the ellbow will give you a good k for k-means. I programmed a node which detects this elbow automatically.

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