object

`hierarchical_clustering`

Hierarchical clusterer for continuous datasets. Learns a full agglomerative_clusterer merge tree from a dataset object implementing the clustering_dataset_protocol protocol and then cuts the hierarchy to the requested number of clusters for prediction and export.

Availability:

logtalk_load(hierarchical_clustering(loader))

Author: Paulo Moura
Version: 1:0:0
Date: 2026-05-06

Compilation flags:

static, context_switching_calls

Imports:

public clusterer_common

Uses:

avltree
binary_heap_min
format
list
numberlist
pairs
type

Remarks:

(none)

Inherited public predicates:

check_clusterer/1 check_option/1 check_options/1 cluster/3 clusterer_options/2 default_option/1 default_options/1 diagnostic/2 diagnostics/2 export_to_clauses/4 export_to_file/4 learn/2 learn/3 option/2 option/3 print_clusterer/1 valid_clusterer/1 valid_option/1 valid_options/1

Public predicates 

`cut/3`

Re-cuts a learned hierarchy to a new number of clusters without retraining.

Compilation flags:

static

Template:

cut(Clusterer,K,RecutClusterer)

Mode and number of proofs:

cut(+compound,+integer,-compound) - one

Protected predicates 

(no local declarations; see entity ancestors if any)

Private predicates 

(no local declarations; see entity ancestors if any)

Operators 

(none)

hierarchical_clustering

Public predicates

cut/3

Protected predicates

Private predicates

Operators