Tag Info

New answers tagged

2

To address the Centroid issue. zip = EntityValue[Entity["AdministrativeDivision", {"NewYork", "UnitedStates"}], EntityProperty["AdministrativeDivision", "ZIPCodes"]]; list = {#, EntityValue[#, {"Polygon", "Population"}]} & /@ zip; Eliminate Zip codes without Polygons and remove the GeoPosition head to allow us to calculate the centroids. ...


1

In MATLAB, the command kmeans() also returns distances from data points to centroids, i.e. [idx,C,sumd,D] = kmeans(___) So, a more complete answer would be: kmeans[data_, k_] := Module[ {idx , cntr, result, noOfCols, noOfRows, c, i, y, sumd, dist}, idx = ClusteringComponents[data, k, 1, Method -> "KMeans", "DistanceFunction" -> ...



Top 50 recent answers are included