# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "LearnClust" in publications use:' type: software title: 'LearnClust: Learning Hierarchical Clustering Algorithms' version: '1.1' doi: 10.32614/CRAN.package.LearnClust abstract: Classical hierarchical clustering algorithms, agglomerative and divisive clustering. Algorithms are implemented as a theoretical way, step by step. It includes some detailed functions that explain each step. Every function allows options to get different results using different techniques. The package explains non expert users how hierarchical clustering algorithms work. authors: - family-names: Alcantara given-names: Roberto email: roberto.alcantara@edu.uah.es - name: Juan Jose Cuadrado email: jjcg@uah.es - name: Universidad de Alcala de Henares repository: https://cranhaven.r-universe.dev commit: f13c9f5c1f9374b1e6536b8396c565305c6a1db1 date-released: '2020-11-24' contact: - family-names: Alcantara given-names: Roberto email: roberto.alcantara@edu.uah.es