Denstream_with_dbscan#

class capymoa.clusterers.Denstream_with_dbscan[source]#

Bases: MOAClusterer

Denstream clustering algorithm with DBSCAN Macro-clustering.

__init__(
schema: Schema | None = None,
horizon: int = 1000,
epsilon: float = 0.02,
beta: float = 0.2,
mu: int = 1,
init_points: int = 1000,
offline_option: float = 2,
lambda_option: float = 0.25,
speed: int = 100,
)[source]#

Clustream clusterer.

Parameters:

  • schema – The schema of the stream

  • horizon – The size of the time window

  • epsilon – The epsilon neighborhood :param beta: The beta parameter :param mu: The mu parameter :param init_points: The number of initial points :param offline_option: The offline multiplier for epsilon :param lambda_option: The lambda option :param speed: Number of incoming data points per time unit

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