local_stats.cluster

This module contains the Cluster class. This is a convenient way to handle the output of scikit-learn’s DBSCAN algorithm.

class local_stats.cluster.Cluster(arr: numpy.ndarray)[source]

Bases: object

For tracking clusters of pixels.

classmethod from_DBSCAN(X: numpy.ndarray, labels_) → List[local_stats.cluster.Cluster][source]: Takes the input and output of scikit-learn’s DBSCAN algorithm. Returns a list of cluster objects. Note that, because of naive use of lists, this will slow down if len(labels_) is around 10^5-10^7-ish.

intensity(arr: numpy.ndarray) → float[source]

Returns the sum of this cluster’s pixels in arr.

Parameters: arr – The image to sum over.
Returns: The area underneath this cluster in the image array passed as an argument.

property pixel_indices: Returns pixel indices in a np.where compatible format.