Dendrogram

Plot distance matrix, two dendrograms and color bar: save the figure (.png)

Description

It is necessary to calculate the pairwise distances between all elements.

There are routines for agglomerative clustering:
(1) average linkage: it will be the mean of the distances of the joining clusters weighted by the number of elements each cluster holds. Disadvantages: Average-link clustering may cause elongated clusters to split and for portions of neighboring elongated clusters to merge.
(2) centroid linkage: each cluster is defined by its centroid: a data point that represents all the points included in the cluster.

Paramètres

connectivity_matrix: Matrice de connectivité ( entrée )

transpose: Booléen ( input )

linkage_method_X: Choice ( input )

linkage_method_Y: Choice ( input )

outdir: Répertoire ( entrée )

Informations techniques

Toolbox : Constellation

Niveau d'utilisateur : 2

Identifiant : dendrogram

Nom de fichier : brainvisa/toolboxes/constellation/processes/clustering_evaluation/clustering_techniques/dendrogram.py

Supported file formats :

connectivity_matrix :

GIS image, GIS image

outdir :

Répertoire, Répertoire