Rand indices¶
Rand index is a measure of the similarity between two data clusterings. From a mathematical standpoint, Rand index is related to the accuracy, but is applicable even when class labels are not used.
References:
Lawrence Hubert and Phipps Arabie (1985). Comparing partitions. Journal of Classification 2 (1): 193–218
Meila, Marina (2003). Comparing Clusterings by the Variation of Information. Learning Theory and Kernel Machines: 173–187.
This package provides the randindex
function that implements several metrics:

randindex
(c1, c2)¶ Compute the tuple of indices (Adjusted Rand index, Rand index, Mirkin’s index, Hubert’s index) between two assignments.
Parameters:  c1 – The assignment vector for the first clustering.
 c2 – The assignment vector for the second clustering.
Returns: tuple of indices.

randindex
(R, c0) This method takes
R
, an instance ofClusteringResult
, as input, and computes the tuple of indices (see above) wherec0
is the corresponding assignment vector.

randindex
(R1, R2) This method takes
R1
andR2
(both are instances ofClusteringResult
) and computes the tuple of indices (see above) between them.