# Infrastructure for Data Stream Mining

## Documentation for package ‘stream’ version 2.0-1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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
close_stream.DST_WriteStream | Task to Write a Stream to a File or a Connection

## -- 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
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
DSClassifier_SlidingWindow | DSClassifier_SlidingWindow - Data Stream Classifier Using a Sliding Window
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_SlidingWindow | DSC_SlidingWindow - Data Stream Clusterer Using a Sliding Window
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 | Deprecated DSD_ScaleStream
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
DSRegressor | Abstract Class for Data Stream Regressors
DSRegressor_SlidingWindow | DSRegressor_SlidingWindow - Data Stream Regressor Using a Sliding Window
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_SlidingWindow | DST_SlidingWindow - Call R Functions on a Sliding Window
DST_WriteStream | Task to Write a Stream to a File or a Connection

## -- E --

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

## -- 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_model | Conceptual Base Class for All Data Stream Mining Tasks
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_points.DSF | Data Stream Filter Base Classes
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
predict.DST_SlidingWindow | DST_SlidingWindow - Call R Functions on a Sliding Window
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
stream_pipeline | Create a Data Stream Pipeline

## -- 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.DSF | Data Stream Filter Base Classes
update.DST | Update a Data Stream Mining Task Model with Points from a Stream
update.DST_SlidingWindow | DST_SlidingWindow - Call R Functions on a Sliding Window

## -- W --

write_stream | Write a Data Stream to a File