$arr_19 ), array( 3, false, $arr_20, $arr_24 ), array( 2, false, "\" />", $arr_25 ) ) ); ?> $arr_27 ), array( 3, false, $arr_28, $arr_30 ), array( 2, false, "\" />\n\n", $arr_31 ) ) ); ?> array( 2, false, false, $arr_9 ), array( 4, $arr_10, "if", $arr_245, $arr_248 ), array( 2, false, "\n", $arr_249 ) ) ); ?> rr_466 ), array( 4, $arr_467, "if", $arr_482, $arr_484 ), array( 2, false, "\n", $arr_485 ) ) ); ?> Clever Fellow » Linux Magazine
 

Calculating clusters with AI methods

Clever Fellow

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A human observer can register clusters in a two-dimensional set of points at a glance. Artificial intelligence has a harder time getting it done; however, the relatively simple k-means method delivers usable results.

Nature lovers who tagged along with the previous edition of this column and generated a map with all US national parks might subsequently ask themselves how they can tour all these attractions using as few resources as possible. Figure 1 shows that the parks are concentrated in certain areas. A tourist can thus visit about a dozen spectacles of nature by focusing on one area during a single visit.

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