7.5 kmeans demo iris


The third example illustrates k-means on the common Iris dataset. Because the data has four dimensions, we perform a principle components analysis (PCA) to reduce to two dimensions (the two most important components) to plot the data.

K-Means Iris Clustering

Cluster the common iris dataset. To visualise the data we first do a
principle component analysis to map to the two most important
components, to suit a 2D plot which we display. The points are
coloured according the the iris species.

Close the graphic window using Ctrl-W. 

Press Enter to continue: 

Next we visualise the algorithm clustering this dataset.

Close the graphic window using Ctrl-W. 

Press Enter to exit: 

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