Distance measurements for nominal attributes

Distance measurements for nominal attributes

Many partitioning methods use distance measures to determine the similarity or dissimilarity between any pair of objects (such as distance measures for nominal attributes). It is common to designate the distance between two instances x_i and x_j as: d (x_i, x_j). A valid distance measurement must be symmetrical and obtain its minimum value (usually zero) in the case of identical vectors. The distance measure is called the metric distance measure if it also satisfies the following properties:

Distance measurements for nominal attributes

When attributes are nominal, two main approaches can be used:

  1. Simple match
Distance measurements for nominal attributes

where p is the total number of attributes and m is the number of matches.

2. Creation of a binary attribute for each state of each nominal attribute and calculation of their dissimilarity.

To share
en_GBEN
%d bloggers like this: