A Way to Obtain the Quality of a Partition by Adjusted Rand Index

The Adjusted Rand Index measures the quality of the results of clustering algorithms for data. In this work, a study is shown about the Adjusted Rand Index applied in two algorithms, the Fuzzy C-Means and ckMeans. Experiments are made on the Vowels data base that was previously validated. Results of these algorithms partitions are shown and also the ratio of these results, ie, the quality of the results is discussed groups.