Determine an entry-issue functionality named findNearestCentroid that accepts centroid positions and new data, and afterwards uncover the nearest cluster by utilizing pdist2.
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The software treats NaNs in X as lacking data and gets rid of any row of X which contains a minimum of just one NaN. Taking away rows of X minimizes the sample dimensions. The kmeans operate returns NaN with the corresponding value within the output argument idx.
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