classix.aggregation.precompute_aggregate

classix.aggregation.precompute_aggregate(data, sorting='pca', tol=0.5)

Aggregate the data using precomputation

Parameters

datanumpy.ndarray

The input that is array-like of shape (n_samples,).

sortingstr

The sorting way referred for aggregation, default=’pca’, other options: ‘norm-mean’, ‘norm-orthant’.

tolfloat

The tolerance to control the aggregation, if the distance between the starting point and the object is less than or equal than the tolerance, the object should allocated to the group which starting point belongs to.

Returns

labels (list)

The group categories of the data after aggregation.

splist (list)

The list of the starting points.

nr_dist (int) :

The number of pairwise distance calculations.

ind (numpy.ndarray):

Array storing Sorting indices.

sort_vals (numpy.ndarray):

Sorting values.

data (numpy.ndarray):

Sorted data.

half_nrm2 (numpy.ndarray):

Precomputed values for distance computation.