Spark implementation of Nearest Neighbours Mean Shift using LSH
@Kybe67 / (1)
This Mean Shift implementation use the Locality Sensitive Hashing in order to reduce computation time. The main advantages of NNMS are that it can detect automatically the number of clusters in the data set and detect non-ellipsoidal clusters, in contrast to k-means clustering. This clustering algorithm is made for analysis of multivariate multidimensional datasets and works on ordered values.
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