Infrastructure for Data Stream Mining


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Documentation for package ‘stream’ version 2.0-0

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A B C D E F G K M N P R S U W

stream-package stream: Infrastructure for Data Stream Mining

-- A --

add_cluster DSD Moving Generator
add_cluster.DSD_MG DSD Moving Generator
add_keyframe Moving Generator Cluster
agreement Agreement-based Measures for Clustering
animate Animates the Plotting of a Data Streams
animate_cluster Animates Plots of the Clustering Process
animate_data Animates the Plotting of a Data Streams
animation Animates the Plotting of a Data Streams

-- B --

BICO BICO - Fast computation of k-means coresets in a data stream
bico BICO - Fast computation of k-means coresets in a data stream
BIRCH Balanced Iterative Reducing Clustering using Hierarchies
birch Balanced Iterative Reducing Clustering using Hierarchies

-- C --

change_alpha DBSTREAM Clustering Algorithm
close_stream Close a Data Stream
close_stream.DSD_ReadCSV Read a Data Stream from a File or a Connection
close_stream.DSD_ReadDB Read a Data Stream from an open DB Query
close_stream.DSD_ReadStream Read a Data Stream from a File or a Connection
close_stream.DSF Data Stream Filter Base Classes

-- D --

D-Stream D-Stream Data Stream Clustering Algorithm
d-stream D-Stream Data Stream Clustering Algorithm
DBSCAN DBSCAN Macro-clusterer
dbscan DBSCAN Macro-clusterer
DBSTREAM DBSTREAM Clustering Algorithm
dbstream DBSTREAM Clustering Algorithm
description Conceptual Base Class for All Data Stream Mining Tasks
description.DST Conceptual Base Class for All Data Stream Mining Tasks
DSAggregate Data Stream Aggregator Base Classes
DSAggregate_Sample Sampling from a Data Stream (Data Stream Operator)
DSAggregate_Window Sliding Window (Data Stream Operator)
DSC Data Stream Clustering Base Class
DSClassifier Abstract Class for Data Stream Classifiers
DSC_BICO BICO - Fast computation of k-means coresets in a data stream
DSC_BIRCH Balanced Iterative Reducing Clustering using Hierarchies
DSC_DBSCAN DBSCAN Macro-clusterer
DSC_DBSTREAM DBSTREAM Clustering Algorithm
DSC_DStream D-Stream Data Stream Clustering Algorithm
DSC_EA Reclustering using an Evolutionary Algorithm
DSC_evoStream evoStream - Evolutionary Stream Clustering
DSC_Hierarchical Hierarchical Micro-Cluster Reclusterer
DSC_Kmeans Kmeans Macro-clusterer
DSC_Macro Abstract Class for Macro Clusterers (Offline Component)
DSC_Micro Abstract Class for Micro Clusterers (Online Component)
DSC_R Abstract Class for Implementing R-based Clusterers
DSC_Reachability Reachability Micro-Cluster Reclusterer
DSC_Sample Extract a Fixed-size Sample from a Data Stream
DSC_Static Create as Static Copy of a Clustering
DSC_TwoStage TwoStage Clustering Process
DSC_Window A sliding window from a Data Stream
DSD Data Stream Data Generator Base Classes
DSD_BarsAndGaussians Data Stream Generator for Bars and Gaussians
DSD_Benchmark Data Stream Generator for Dynamic Data Stream Benchmarks
DSD_Cubes Static Cubes Data Stream Generator
DSD_Gaussians Mixture of Gaussians Data Stream Generator
DSD_Memory A Data Stream Interface for Data Stored in Memory
DSD_MG DSD Moving Generator
DSD_Mixture Mixes Data Points from Several Streams into a Single Stream
DSD_mlbenchData Stream Interface for Data Sets From mlbench
DSD_mlbenchGenerator mlbench Data Stream Generator
DSD_NULL Placeholder for a DSD Stream
DSD_R Data Stream Data Generator Base Classes
DSD_ReadCSV Read a Data Stream from a File or a Connection
DSD_ReadDB Read a Data Stream from an open DB Query
DSD_ReadStream Read a Data Stream from a File or a Connection
DSD_ScaleStream Scale a Data Stream
DSD_Target Target Data Stream Generator
DSD_UniformNoise Uniform Noise Data Stream Generator
DSF Data Stream Filter Base Classes
DSFP Abstract Class for Frequent Pattern Mining Algorithms for Data Streams
DSF_Convolve Apply a Filter to a Data Stream
DSF_Downsample Downsample a Data Stream
DSF_dplyr Apply a dplyr Transformation to a Data Stream
DSF_ExponentialMA Exponential Moving Average over a Data Stream
DSF_Func Apply a Function to Transformation to a Data Stream
DSF_Scale Scale a Data Stream
DSOutlier Abstract Class for Data Stream Outlier Detectors
DSOutlier_DBSTREAM DBSTREAM Clustering Algorithm
DSOutlier_DStream D-Stream Data Stream Clustering Algorithm
DST Conceptual Base Class for All Data Stream Mining Tasks
dstream D-Stream Data Stream Clustering Algorithm
DST_Multi Apply Multiple Task to the Same Data Stream
DST_Runner Create a Data Stream Pipeline
DST_WriteStream Task to Write a Stream to a File or a Connection

-- E --

evaluate Evaluate a Data Stream Mining Task
evaluate.DSC Evaluate Stream Clustering
evaluate_static Evaluate a Data Stream Mining Task
evaluate_static.DSC Evaluate Stream Clustering
evaluate_stream Evaluate a Data Stream Mining Task
evaluate_stream.DSC Evaluate Stream Clustering

-- F --

filter_diff Apply a Filter to a Data Stream
filter_Hamming Apply a Filter to a Data Stream
filter_MA Apply a Filter to a Data Stream
filter_Sinc Apply a Filter to a Data Stream

-- G --

get_assignment Assignment Data Points to Clusters deprecated
get_assignment.DSC Assignment Data Points to Clusters deprecated
get_attraction D-Stream Data Stream Clustering Algorithm
get_centers Data Stream Clustering Base Class
get_clusters DSD Moving Generator
get_copy Data Stream Clustering Base Class
get_keyframes Moving Generator Cluster
get_macroclusters Data Stream Clustering Base Class
get_macroweights Data Stream Clustering Base Class
get_microclusters Data Stream Clustering Base Class
get_microweights Data Stream Clustering Base Class
get_points Get Points from a Data Stream Generator
get_points.DSAggregate Data Stream Aggregator Base Classes
get_points.DSD Get Points from a Data Stream Generator
get_shared_density DBSTREAM Clustering Algorithm
get_weights Data Stream Clustering Base Class
get_weights.DSAggregate Data Stream Aggregator Base Classes

-- K --

keyframe Moving Generator Cluster

-- M --

MGC Moving Generator Cluster
MGC_Function Moving Generator Cluster
MGC_Linear Moving Generator Cluster
MGC_Noise Moving Generator Cluster
MGC_Random Moving Generator Cluster
MGC_Static Moving Generator Cluster
microToMacro Abstract Class for Macro Clusterers (Offline Component)

-- N --

nclusters Data Stream Clustering Base Class

-- P --

plot Plot Data Stream Data
plot.DSC Plot Results of a Data Stream Clustering
plot.DSC_DBSTREAM DBSTREAM Clustering Algorithm
plot.DSC_DStream D-Stream Data Stream Clustering Algorithm
plot.DSD Plot Data Stream Data
pow2 Apply a Filter to a Data Stream
predict Make a Prediction for a Data Stream Mining Task
predict.DSC Make a Prediction for a Data Stream Mining Task
predict.DST Make a Prediction for a Data Stream Mining Task
prune_clusters Prune Clusters from a Clustering

-- R --

readDSC Save and Read DSC Objects
read_saveDSC Save and Read DSC Objects
recluster Re-clustering micro-clusters
recluster.DSC_Macro Re-clustering micro-clusters
remove_cluster DSD Moving Generator
remove_info Get Points from a Data Stream Generator
remove_keyframe Moving Generator Cluster
reset_stream Reset a Data Stream to its Beginning
reset_stream.DSF Data Stream Filter Base Classes

-- S --

saveDSC Save and Read DSC Objects
Shape_Block Moving Generator Cluster
Shape_Gaussian Moving Generator Cluster

-- U --

update Update a Data Stream Mining Task Model with Points from a Stream
update.DSAggregate Data Stream Aggregator Base Classes
update.DSC_R Abstract Class for Implementing R-based Clusterers
update.DST Update a Data Stream Mining Task Model with Points from a Stream

-- W --

write_stream Write a Data Stream to a File