scipy.cluster.hierarchy.median¶
- scipy.cluster.hierarchy.median(y)[source]¶
Performs median/WPGMC linkage.
See linkage for more information on the return structure and algorithm.
The following are common calling conventions:
Z = median(y)
Performs median/WPGMC linkage on the condensed distance matrix y. See linkage for more information on the return structure and algorithm.
Z = median(X)
Performs median/WPGMC linkage on the observation matrix X using Euclidean distance as the distance metric. See linkage for more information on the return structure and algorithm.
Parameters: Q : ndarray
A condensed or redundant distance matrix. A condensed distance matrix is a flat array containing the upper triangular of the distance matrix. This is the form that pdist returns. Alternatively, a collection of m observation vectors in n dimensions may be passed as a m by n array.
Returns: Z : ndarray
The hierarchical clustering encoded as a linkage matrix.
See also
- linkage
- for advanced creation of hierarchical clusterings.