Decides initial clusters in python, main calculations are in the C module
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Updated
Jan 12, 2023 - C
Decides initial clusters in python, main calculations are in the C module
Neighbor Search and Clustering for Time-Series using Locality-sensitive hashing and Randomized Projection to Hypercube. Time series comparison is performed using Discrete Frechet or Continuous Frechet metric.
Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube
A clustering (object categorization) algorithm, with an implementation of K-means and K-means++
Image compression using the block k-means algorithm
This is a port of the scalable k-means++ (k-means||) to the OpenMPI framework
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