# Demo entry 6770009

**test**

Submitted by **anonymous**
on Nov 11, 2018 at 09:57

Language: Matlab. Code size: 821 Bytes.

function centroids = kMeansInitCentroids(X, K) %KMEANSINITCENTROIDS This function initializes K centroids that are to be %used in K-Means on the dataset X % centroids = KMEANSINITCENTROIDS(X, K) returns K initial centroids to be % used with the K-Means on the dataset X % % You should return this values correctly centroids = zeros(K, size(X, 2)); % ====================== YOUR CODE HERE ====================== % Instructions: You should set centroids to randomly chosen examples from % the dataset X % % Initialize the centroids to be random examples % Randomly reorder the indices of examples randidx = randperm(size(X, 1)); % Take the first K examples as centroids centroids = X(randidx(1:K), :); % ============================================================= end

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