streamMOA v1.1-4

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Interface for MOA Stream Clustering Algorithms

Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework.

Readme

streamMOA - Interface for MOA Stream Clustering Algorithms - R package

CRAN version CRAN RStudio mirror downloads Travis-CI Build Status AppVeyor Build Status

Interface for data stream clustering algorithms implemented in the MOA (Massive Online Analysis) framework. This is an extension package for stream.

Installation

  • Stable CRAN version: install from within R.
  • Current development version: Download package from AppVeyor or install via install_git("mhahsler/streamMOA") (needs devtools)

Example

R> library("streamMOA")
# 3 clusters with 5% noise
R> stream <- DSD_Gaussians(k=3, d=2, noise=.05)

# cluster with CluStream  
R> clustream <- DSC_CluStream(m=50, k=3)
R> update(clustream, stream, 500)
R> clustream
CluStream + k-Means (weighted)
Class: DSC_TwoStage, DSC_Macro, DSC 
Number of micro-clusters: 50 
Number of macro-clusters: 3 

# plot micro-clusters
R> plot(clustream, stream, type = "both")

Further Information

Functions in streamMOA

Name Description
DSC_MOA DSC_MOA Class
DSC_CluStream CluStream Data Stream Clusterer
DSD_RandomRBFGeneratorEvents Random RBF Generator Events Data Stream Generator
DSC_DenStream DenStream Data Stream Clusterer
DSC_ClusTree ClusTree Data Stream Clusterer
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Vignettes of streamMOA

Name
foot.tex
head.tex
streamMOA.Rnw
No Results!

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Details

Date 2018-04-06
SystemRequirements Java (>= 5.0)
BugReports https://github.com/mhahsler/streamMOA
License GPL-3
Copyright MOA code in inst/java/moa.jar is Copyright (C) The University of Waikato and distributed under the Apache License, version 2.0. All other code is Copyright (C) Matthew Bolanos, John Forrest and Michael Hahsler
NeedsCompilation no
Packaged 2018-04-07 03:43:41 UTC; hahsler
Repository CRAN
Date/Publication 2018-04-07 04:18:01 UTC

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