WindowSegmenter

Window-based Time Series Segmentation via Clustering.

Quickstart

from sktime.detection.wclust import WindowSegmenter

estimator = WindowSegmenter(clusterer=None, window_size=1, overlap=False, step_size=1, return_segments=True)

Parameters(5)

clusterersktime clusterer, BaseClusterer instance

The instance of clustering algorithm used for segmentation.

window_sizeInteger

The size of the Sliding Window

overlapBoolean, default=False

If True, overlapping windows are used.

step_sizeInteger, default=1

The step size for the sliding window.

return_segmentsBoolean, default=True

If True, returns the segments with the labels. If False, returns the labels for each time point.