14 Sep '17, 1am

ML Basics: K Nearest Neighbors in Ruby #ruby #rails

ML Basics: K Nearest Neighbors in Ruby #ruby #rails

In large datasets, there are special data structures and algorithms you can use to make finding the nearest neighbors computationally feasible. But this dataset is small enough that I can just iterate over all the data points and sort them by distance. Say I have a new iris, and it has a sepal length of 5.0, a sepal width of 3.0, a petal length of 4.4, and a petal width of 1.6. I want to figure out what species it is likely to be so I look at the three known data points nearest to my new iris and decide my new iris is probably the same species as the majority of its neighbors.

Full article: http://www.thagomizer.com/blog/2017/09/13/ml-basics-k-nea...

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