animate | Animates the plotting of a DSD and the clustering process |
animate_cluster | Animates the plotting of a DSD and the clustering process |
animate_data | Animates the plotting of a DSD and the clustering process |
BIRCH | BIRCH Data Stream Clusterer |
birch | BIRCH Data Stream Clusterer |
close_stream | Read a Data Stream from File |
cluster | Cluster a Data Stream |
CluStream | CluStream Data Stream Clusterer |
clustream | CluStream Data Stream Clusterer |
ClusTree | ClusTree Data Stream Clusterer |
clustree | ClusTree Data Stream Clusterer |
DSC | Data Stream Clusterer Base Class |
DSClass | Abstract Class for Data Stream Classifiers |
DSC_BIRCH | BIRCH Data Stream Clusterer |
DSC_CluStream | CluStream Data Stream Clusterer |
DSC_ClusTree | ClusTree Data Stream Clusterer |
DSC_DBSCAN | DBSCAN Macro-clusterer |
DSC_DenStream | DenStream Data Stream Clusterer |
DSC_Hierarchical | Hierarchical Micro-Cluster Reclusterer |
DSC_Kmeans | Kmeans Macro-clusterer |
DSC_Macro | Abstract Class for Macro Clusterers |
DSC_Micro | Abstract Class for Micro Clusterers |
DSC_MOA | DSC_MOA Class |
DSC_Sample | Extract a Fixed-size Sample from a Data Stream |
DSC_Static | Create as Static Copy of a Clustering |
DSC_tNN | Threshold Nearest Neighbor (tNN) Data Stream Clustering Algorithm |
DSD | Data Stream Data Generator Base Class |
DSD_BarsAndGaussians | Data Stream Generator for Bars and Gaussians |
DSD_Cubes | Static Cubes Data Stream Generator |
DSD_GaussianMoving | Moving Gaussians Data Stream Generator |
DSD_GaussianStatic | Static Gaussians Data Stream Generator |
DSD_mlbenchData | A Wrapper for Data Sets from mlbench |
DSD_mlbenchGenerator | mlbench Data Stream Generator |
DSD_RandomRBFGeneratorEvents | Random RBF Generator Events Data Stream Generator |
DSD_ReadStream | Read a Data Stream from File |
DSD_ScaleStream | Scale a Stream from a DSD |
DSD_Target | Target Data Stream Generator |
DSD_UniformNoise | Uniform Noise Data Stream Generator |
DSD_Wrapper | A Data Stream Wrapper for Data Frames and Matrices) |
DSFP | Abstract Class for Frequent Pattern Mining Algorithms for Data Streams |
DST | Abstract Base Class for All Data Stream Mining Tasks |
evaluate | Evaluate Clusterings |
evaluate_cluster | Evaluate Clusterings |
get_assignment | Assignment Data Points to Clusters |
get_centers | Get Cluster Centers from a DSC |
get_copy | Create a Deep Copy of a DSC Object |
get_points | Get Points from a Data Stream Generator |
get_weights | Get Cluster Weights |
microToMacro | Translate Micro-cluster IDs to Macro-cluster IDs |
nclusters | nclusters |
plot | Plotting Data Stream Data and Clusterings |
plot.DSC | Plotting Data Stream Data and Clusterings |
plot.DSD | Plotting Data Stream Data and Clusterings |
print.stream_eval | Evaluate Clusterings |
prune_clusters | Prune Clusters from a Clustering |
recluster | Re-clustering micro-clusters |
reset_stream | Reset a Data Stream to its Beginning |
scale_stream | Read a Data Stream from File |
serialize | Threshold Nearest Neighbor (tNN) Data Stream Clustering Algorithm |
write_stream | Write a Data Stream to a File |