tNN-class

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Class "tNN"

Implements the threshold Nearest Neighbor clustering algorithm used by EMM.

Keywords
classes
Objects from the Class

Objects can be created with new() or by the creator function tNN.

References

M.H. Dunham, Y. Meng, J. Huang (2004): Extensible Markov Model, In: ICDM '04: Proceedings of the Fourth IEEE International Conference on Data Mining, pp. 371--374.

See Also

cluster for adding new data to the clustering. find_clusters to find the nearest neighbor cluster for given data points. EMM extends "tNN".

Aliases
  • tNN
  • tNN-class
  • StreamClustering-class
  • cluster_centers
  • cluster_centers,tNN-method
  • copy,tNN-method
  • cluster_counts
  • cluster_counts,tNN-method
  • clusters
  • clusters,tNN-method
  • nclusters
  • nclusters,tNN-method
  • last_clustering
  • last_clustering,tNN-method
  • plot,tNN,missing-method
  • object.size,tNN-method
Documentation reproduced from package rEMM, version 1.0-11, License: GPL-2

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