I'm not sure whether k-means would converge with this customized
distance measure. You can list (weighted) time as a feature along with
coordinates, and then use Euclidean distance. For other supported
distance measures, you can check Derrick's package:
http://spark-packages.org/package/derrickburn
hallo,
i want cluster geo data (lat,long,timestamp) with k-means. now i search for
a good core function, i can not find good paper or other sources for that.
to time i multiplicate the time and the space distance:
public static double dis(GeoData input1, GeoData input2)
{
double timeDis = Math
