TERMIUM Plus®

The Government of Canada’s terminology and linguistic data bank.

HIERARCHICAL CLUSTERING ALGORITHM [5 records]

Record 1 2025-03-13

English

Subject field(s)
  • Computer Mathematics
  • Artificial Intelligence
CONT

The two-step algorithm uses the(agglomerative) hierarchical clustering method, because it works well with the auto-cluster method. The algorithm is based on a distance measure that gives the best results if all variables are independent, the continuous variables have a normal distribution, and the categorical variables have a multinomial distribution.

OBS

two-step algorithm: A "two-step algorithm" should not be confused with a "two-stage algorithm." "Two-step" refers to a process involving two sequential actions, while "two-stage" implies a process with distinct levels or phases of operation.

Key term(s)
  • two step algorithm

French

Domaine(s)
  • Mathématiques informatiques
  • Intelligence artificielle

Spanish

Campo(s) temático(s)
  • Matemáticas para computación
  • Inteligencia artificial
Save record 1

Record 2 2024-10-31

English

Subject field(s)
  • Computer Mathematics
  • Artificial Intelligence
DEF

... an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets.

OBS

BIRCH: balanced iterative reducing and clustering using hierarchies.

French

Domaine(s)
  • Mathématiques informatiques
  • Intelligence artificielle
CONT

[...] l'algorithme BIRCH [...] a été développé pour permettre le traitement de grands volumes de données dans un espace mémoire restreint. Pour ce faire, BIRCH réduit la taille du jeu de données initial en le résumant sous la forme d'une structure hiérarchique [...] dans laquelle les points sont agrégés successivement en fonction de leur similarité et de l'espace mémoire disponible.

OBS

BIRCH : réduction itérative équilibrée et regroupement à l'aide de hiérarchies.

Spanish

Save record 2

Record 3 2024-10-31

English

Subject field(s)
  • Computer Mathematics
  • Artificial Intelligence
CONT

Agglomerative hierachy clustering algorithm. This is the most common type of hierarchical clustering algorithm. It's used to group objects in clusters based on how similar they are to each other. This is a form of bottom-up clustering, where each data point is assigned to its own cluster. Then those clusters get joined together. At each iteration, similar clusters are merged until all of the data points are part of one big root cluster.

French

Domaine(s)
  • Mathématiques informatiques
  • Intelligence artificielle

Spanish

Save record 3

Record 4 2024-10-31

English

Subject field(s)
  • Computer Mathematics
  • Artificial Intelligence
CONT

... a divisive hierarchical clustering algorithm..., which groups alternatives into homogeneous groups with similar preferences [has been developed].

French

Domaine(s)
  • Mathématiques informatiques
  • Intelligence artificielle

Spanish

Save record 4

Record 5 2024-03-01

English

Subject field(s)
  • Computer Mathematics
  • Computer Programs and Programming
  • Artificial Intelligence
CONT

Monothetic clustering is a divisive clustering method that uses a hierarchical, recursive partitioning of multivariate responses based on binary decision rules that are built from individual response variables... Based on the ideas of classification and regression trees, a monothetic clustering algorithm was implemented... to allow further explorations and modifications.

French

Domaine(s)
  • Mathématiques informatiques
  • Programmes et programmation (Informatique)
  • Intelligence artificielle

Spanish

Save record 5

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