The k-medians algorithm is similar to k-means, but it characterises the centre of each cluster in terms of the median of the items it contains rather than of their mean. It is of use in applications like logistics where the vector space is a geographical map.
- alias
- subtype
- has functional building block
- FBB_Classification
- has input data type
- IDT_Vector of quantitative variables
- has internal model
- has output data type
- ODT_Vector of quantitative variables ODT_Classification
- has learning style
- LST_Unsupervised
- has parametricity
- PRM_Nonparametric with hyperparameter(s)
- has relevance
- REL_Relevant
- uses
- sometimes supports
- mathematically similar to