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)

See also

clusterer_protocol, clustering_dataset_protocol, agglomerative_clusterer