Infrastructure for Data Stream Mining
Agreement-based Measures for Clustering
Animates Plots of the Clustering Process
Animates the Plotting of a Data Streams
Close a Data Stream
Sampling from a Data Stream (Data Stream Operator)
Sliding Window (Data Stream Operator)
Data Stream Aggregator Base Classes
BICO - Fast computation of k-means coresets in a data stream
Balanced Iterative Reducing Clustering using Hierarchies
DBSCAN Macro-clusterer
DBSTREAM Clustering Algorithm
D-Stream Data Stream Clustering Algorithm
Reclustering using an Evolutionary Algorithm
evoStream - Evolutionary Stream Clustering
Hierarchical Micro-Cluster Reclusterer
Kmeans Macro-clusterer
Abstract Class for Macro Clusterers (Offline Component)
Abstract Class for Micro Clusterers (Online Component)
Abstract Class for Implementing R-based Clusterers
Reachability Micro-Cluster Reclusterer
Extract a Fixed-size Sample from a Data Stream
DSC_SlidingWindow -- Data Stream Clusterer Using a Sliding Window
Create as Static Copy of a Clustering
TwoStage Clustering Process
A sliding window from a Data Stream
Data Stream Clustering Base Class
DSClassifier_SlidingWindow -- Data Stream Classifier Using a Sliding W...
Abstract Class for Data Stream Classifiers
Data Stream Generator for Bars and Gaussians
Data Stream Generator for Dynamic Data Stream Benchmarks
Static Cubes Data Stream Generator
Mixture of Gaussians Data Stream Generator
A Data Stream Interface for Data Stored in Memory
DSD Moving Generator
Mixes Data Points from Several Streams into a Single Stream
Stream Interface for Data Sets From mlbench
mlbench Data Stream Generator
Placeholder for a DSD Stream
Read a Data Stream from an open DB Query
Read a Data Stream from a File or a Connection
Deprecated DSD_ScaleStream
Target Data Stream Generator
Uniform Noise Data Stream Generator
Data Stream Data Generator Base Classes
Apply a Filter to a Data Stream
Downsample a Data Stream
Apply a dplyr Transformation to a Data Stream
Exponential Moving Average over a Data Stream
Select Features for a Data Stream
Apply a Function to Transformation to a Data Stream
Scale a Data Stream
Data Stream Filter Base Classes
Abstract Class for Frequent Pattern Mining Algorithms for Data Streams
Abstract Class for Data Stream Outlier Detectors
DSRegressor_SlidingWindow -- Data Stream Regressor Using a Sliding Win...
Abstract Class for Data Stream Regressors
Apply Multiple Task to the Same Data Stream
DST_SlidingWindow -- Call R Functions on a Sliding Window
Task to Write a Stream to a File or a Connection
Conceptual Base Class for All Data Stream Mining Tasks
Evaluate a Stream Clustering Task
Evaluate a Data Stream Mining Task
Assignment Data Points to Clusters deprecated
Get Points from a Data Stream Generator
Moving Generator Cluster
Pipe operator
Plot Results of a Data Stream Clustering
Plot Data Stream Data
Make a Prediction for a Data Stream Mining Task
Prune Clusters from a Clustering
Save and Read DSC Objects
Re-clustering micro-clusters
Reset a Data Stream to its Beginning
Create a Data Stream Pipeline
stream: Infrastructure for Data Stream Mining
Update a Data Stream Mining Task Model with Points from a Stream
Write a Data Stream to a File
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, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.