Clusterer
TimeSeriesAgglomerativeClustering
Agglomerative Clustering for time series.
Recursive merge of pair of clusters that minimally increases a given linkage distance.
Schnellstart
python
from sktime.clustering.agglomerative import TimeSeriesAgglomerativeClustering
estimator = TimeSeriesAgglomerativeClustering(n_clusters=2, linkage='average', distance='dtw', distance_params=None)Parameter(4)
- n_clustersint, default=2
- The number of clusters to find.
- linkagestr, default=”average”
- Which linkage criterion to use (e.g., ‘ward’, ‘average’, ‘complete’, ‘single’).
- distancestr or callable, default=”dtw”
- Metric used to compute the linkage.
- distance_paramsdict, optional, default=None
- Parameters to be passed to the distance metric.