Compute the Xie-Beni cluster validity index from data, a membership matrix, and cluster centers.
Arguments
- x
A numeric matrix of dimension \(n \times d\), where \(n\) is the number of observations and \(d\) is the number of features.
- u
A numeric matrix of dimension \(n \times k\), where \(n\) is the number of observations and \(k\) is the number of clusters. Each row should represent a membership vector.
- v
A numeric matrix of dimension \(k \times d\), where \(k\) is the number of clusters and \(d\) is the number of features. Each row should represent a cluster center.
- m
A numeric value greater than 1 specifying the fuzziness parameter.