Clustream_with_kmeans#

class capymoa.clusterers.Clustream_with_kmeans[source]#

Bases: MOAClusterer

Clustream clustering algorithm without Macro-clustering.

__init__(
schema: Schema | None = None,
time_window: int = 1000,
max_num_kernels: int = 100,
kernel_radi_factor: float = 2,
k_option: int = 5,
)[source]#

Clustream clusterer with K-means offline clustering.

Parameters:

  • schema – The schema of the stream.

  • time_window – The size of the time window.

  • max_num_kernels – Maximum number of micro kernels to use.

  • kernel_radi_factor – Multiplier for the kernel radius

  • k_option – Number of clusters to use in the k-means offline step

cli_help()[source]#
get_clustering_result()[source]#
get_micro_clustering_result()[source]#
implements_macro_clusters() → bool[source]#
implements_micro_clusters() → bool[source]#
train(instance)[source]#