SCHC

Spatially constrained hierarchical clustering is a special form of constrained clustering, where the constraint is based on contiguity (common borders). The method builds up the clusters using agglomerative hierarchical clustering methods: single linkage, complete linkage, average linkage and Ward’s method (a special form of centroid linkage). Meanwhile, it also maintains the spatial contiguity when merging two clusters.

schc()

function schc(
    WeightResult w,
    Number k, 
    Array vals,
    Number min_bound, 
    Array bound_vals,
    String scale_method,
    String distance_type)

Arguments

Name

Type

Description

weights

WeightsResult

The weights object WeightsResult

k

Number

The number of clusters

values

Array

The list of numeric vectors of selected variable

method

String

The method of agglomerative hierarchical clustering: {“single”, “complete”, “average”,”ward”}.

min_bound

Number

The minimum value that the sum value of bounding variable int each cluster should be greater than

bound_vals

Array

The numeric vector of selected bounding variable

scale_method

String

The scaling method: {'raw', 'standardize', 'demean', 'mad', 'range_standardize', 'range_adjust'}

distance_method

String

The distance method: {"euclidean", "manhattan"}

Return

Type

Description

ClusteringResult

The Clustering object: {'total_ss', 'within_ss', 'between_ss', 'ratio', 'clusters'}

Examples

Try it yourself in the playground (jsgeoda + deck.gl):

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