A more complex dataset and the nearest-neighbor classifier

We will now look at a slightly more complex dataset. This will include the introduction of a new classification algorithm and a few other ideas.

Learning about the seeds dataset

We now look at another agricultural dataset, which is still small, but already too large to plot exhaustively on a page as we did with the Iris dataset. This dataset consists of measurements of wheat seeds. There are seven features that are present, which are as follows:

• Area A
• Perimeter P
• Compactness C = 4πA/P²
• Length of kernel
• Width of kernel
• Asymmetry coefficient
• Length of kernel groove

There are three classes corresponding to three wheat varieties: Canadian, Koma, and Rosa...