Repeat the previous analysis using the distance-weighted voting ap- proach described in Section 5.2.1.
Consider the one-dimensional data set shown in Table 5.4.
1-nearest neighbor: +,
3-nearest neighbor: +,
5-nearest neighbor: +,
9-nearest neighbor: +.
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