cytoflowgui.op_plugins.kmeans

This module uses the KMeans algorithm to assign events to clusters in an unsupervized manner.

Name

The operation name; determines the name of the new metadata

X Channel, Y Channel

The channels to apply the mixture model to.

X Scale, Y Scale

Re-scale the data in Channel before fitting.

Num Clusters

How many clusters to assign the data to.

By

A list of metadata attributes to aggregate the data before estimating the model. For example, if the experiment has two pieces of metadata, Time and Dox, setting By to ["Time", "Dox"] will fit the model separately to each subset of the data with a unique combination of Time and Dox.

class cytoflowgui.op_plugins.kmeans.KMeansHandler(*args: Any, **kwargs: Any)

Bases: OpHandler

class cytoflowgui.op_plugins.kmeans.KMeansViewHandler(*args: Any, **kwargs: Any)

Bases: ViewHandler

class cytoflowgui.op_plugins.kmeans.KMeansPlugin

Bases: Plugin, PluginHelpMixin

operation_id = 'cytoflow.operations.kmeans'

view_id = 'cytoflowgui.op_plugins.kmeans'

short_name = 'KMeans'

menu_group = 'Clustering'

get_operation()

get_handler(model, context)

get_icon()