To explain the complete agglomerative hierarchical clusterization algorithm choosing distance and approach type.
could be a numeric vector, a matrix or a numeric data frame. It will be transformed into matrix and list to be used.
is a string. It chooses the distance to use.
is a string. It chooses the approach to use.
This function is the main part of the agglomerative hierarchical clusterization method. It explains the theoretical algorithm step by step.
1 - The function transforms data into useful object to be used.
2 - It creates the clusters.
3 - It calculates a matrix distance with the clusters created by applying the distance and the approach given.
4 - It chooses the distance value and gets the clusters.
5 - It groups the clusters in a new one and updates clusters list.
6 - It repeats these steps until an unique cluster exists.
agglomerative algorithm explanation.
Roberto Alcántara email@example.com
Juan José Cuadrado firstname.lastname@example.org
Universidad de Alcalá de Henares
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