Mean-Shift-LSH (homepage)

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.

Tags

  • 1|machine learning
  • 1|lsh

How to

This package doesn't have any releases published in the Spark Packages repo, or with maven coordinates supplied. You may have to build this package from source, or it may simply be a script. To use this Spark Package, please follow the instructions in the README.

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