stream v1.2-3

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by Michael Hahsler

Infrastructure for Data Stream Mining

A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.

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stream - Infrastructure for Data Stream Mining - R package

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A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893 and NIH R21HG005912.

Additional packages in the stream family are: streamMOA.

Installation

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

Example

R> library("stream")
R> stream <- DSD_Gaussians(k=3, noise=0)

# create micro-clusters via sampling
R> sample <- DSC_Sample(k=20)
R> update(sample, stream, 500)
R> sample
Reservoir sampling
Class: DSC_Sample, DSC_Micro, DSC_R, DSC 
Number of micro-clusters: 20 

# recluster micro-clusters
R> kmeans <- DSC_Kmeans(k=3)
R> recluster(kmeans, sample)
R> plot(kmeans, stream, type="both")

Further Information

Maintainer: Michael Hahsler

Functions in stream

Name Description
DSC_Mirco Abstract Class for Micro Clusterers
DSD_Benchmark Data Stream Generator for Benchmark Data
DSC Data Stream Clusterer Base Classes
DSD_BarsAndGaussians Data Stream Generator for Bars and Gaussians
DSC_Static Create as Static Copy of a Clustering
DSD_Cubes Static Cubes Data Stream Generator
DSD_Memory A Data Stream Interface for Data Stored in Memory
DSC_Window A sliding window from a Data Stream
DSClassify Abstract Class for Data Stream Classifiers
DSD_Gaussians Mixture of Gaussians Data Stream Generator
DSC_TwoStage TwoStage Clustering Process
DSD_ReadCSV Read a Data Stream from File
DSD_mlbenchData Stream Interface for Data Sets From mlbench
DSD_ReadDB Read a Data Stream from an open DB Query
DSD_mlbenchGenerator mlbench Data Stream Generator
DSD_ScaleStream Scale a Stream from a DSD
DSD Data Stream Data Generator Base Classes
DSD_Target Target Data Stream Generator
DSFP Abstract Class for Frequent Pattern Mining Algorithms for Data Streams
DSD_MG DSD Moving Generator
DSD_UniformNoise Uniform Noise Data Stream Generator
DST Abstract Base Class for All Data Stream Mining Tasks
get_assignment Assignment Data Points to Clusters
get_points Get Points from a Data Stream Generator
get_weights Get Cluster Weights
get_centers Get Cluster Centers from a DSC
DSO_Window Sliding Window (Data Stream Operator)
DSO Data Stream Operator Base Classes
DSO_Sample Sampling from a Data Stream (Data Stream Operator)
get_copy Create a Deep Copy of a DSC Object
evaluate Evaluate Clusterings
reset_stream Reset a Data Stream to its Beginning
nclusters nclusters
write_stream Write a Data Stream to a File
update Update a Data Stream Clustering Model
recluster Re-clustering micro-clusters
save Save and Read DSC Objects
microToMacro Translate Micro-cluster IDs to Macro-cluster IDs
MGC Moving Generator Cluster
plot Plotting Data Stream Data and Clusterings
prune_clusters Prune Clusters from a Clustering
DSC_Kmeans Kmeans Macro-clusterer
DSC_Marco Abstract Class for Macro Clusterers
DSC_Hierarchical Hierarchical Micro-Cluster Reclusterer
animation Animates the plotting of a DSD and the clustering process
DSC_DBSTREAM DBSTREAM clustering algorithm
DSC_DBSCAN DBSCAN Macro-clusterer
DSC_Reachability Reachability Micro-Cluster Reclusterer
DSC_Sample Extract a Fixed-size Sample from a Data Stream
DSC_DStream D-Stream Data Stream Clustering Algorithm
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Details

Date 2016-08-07
URL http://lyle.smu.edu/IDA/TRACDS/
BugReports https://github.com/mhahsler/stream/issues
LinkingTo Rcpp
License GPL-3
NeedsCompilation yes
Packaged 2016-08-07 20:15:17 UTC; hahsler
Repository CRAN
Date/Publication 2016-08-08 00:46:06

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