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Reading: Where Ichiro Hits: Cluster Analysis
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SmartData Collective > Analytics > Where Ichiro Hits: Cluster Analysis
AnalyticsR Programming Language

Where Ichiro Hits: Cluster Analysis

DavidMSmith
Last updated: 2011/06/16 at 6:24 PM
DavidMSmith
1 Min Read
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Google research scientist Peter Hauck used Weka and k-means cluster analysis to describe where Mariners right-fielder Ichiro favours hitting the baseball. He then used R to visualize the 6 clusters the k-means analysis identified:

Google research scientist Peter Hauck used Weka and k-means cluster analysis to describe where Mariners right-fielder Ichiro favours hitting the baseball. He then used R to visualize the 6 clusters the k-means analysis identified:

Where Ichiro hits - detailI sometimes find K-means clustering tough to explain as a statistical technique, but this makes for a great example: if you’re a fielder facing Ichiro, it might be a good idea to keep an eye on those six spots when he hits. See the full ananlysis on the Infochimps blog at the link below.

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Infochimps blog: Clustering Baseball Data with Weka

DavidMSmith June 16, 2011
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