success_ratio

PURPOSE

Quantifies accuracy with which a binary partition splits data containing two or more clusters

SYNOPSIS

function out = success_ratio(clusters, trueLabels)

DESCRIPTION

Quantifies accuracy with which a binary partition splits data containing two or more clusters
OUT = SUCCESS_RATIO(CLUSTERS, TRUELABELS)

 Inputs:
    (CLUSTERS): Estimated binary partition
    (TRUELABELS): True cluster assignment

 Output:
    (OUT): Success ratio

Reference:
Pavlidis N.G., Hofmeyr D.P., Tasoulis S.K. (2016) Minimum Density Hyperplanes. 
Journal of Machine Learning Research, 17(156), 1–33.

CROSS-REFERENCE INFORMATION

This function calls:

mycrosstab Cross tabulation table for vectors X,Y

This function is called by:

gsep Generic binary cluster separator class
ctree Class implementing cluster hierarchy in tree data structure
mchp Maximum Clusterability Hyperplane (inherits from HP class)
mdhp MDHP implements Minimum Density Hyperplane (inherits from HP class)
nchp Minimum Normalised Cut Hyperplane (inherits from HP class)
schp Class implementing a linear projection subspace of arbitrary dimensions estimated through SCPP