… Many different clustering validity measures exist that are very … , robust methodology for
comparing clustering validity measures … of the performances of four well-known validity measures …

… Herein, we give a simple example to compare the performance of validity indexes using
both mean and median types. Table 1 shows the values of the mean-type indexes for the …

… the performance of incremental learners. The recently introduced incremental cluster validity
… Their primary use case has been cluster quality monitoring; nonetheless, they have been …

… the performances of existing clustering validity measures and, … of comparing performances
of clustering validity measures … This capability indicates a particular kind of robustness of the …

… 3 CLUSTER VALIDITY INDICES In this section, the four cluster validity indices that have
been used in this article to evaluate the partitioning obtained by the above three techniques for …

… the performances of existing clustering validity measures and, … of comparing performances
of clustering validity measures … This capability indicates a particular kind of robustness of the …

… This example illustrates that our proposed validity measure is robust to noise. 4) Crescent …
Our performance is the same as that in the kernel method proposed by Camastra and Verri [28]…

… The maximums or minimums of clustering validity indexes are the optimal number of
clusters. Typical and existing four hard validity indexes and three fuzzy validity indexes are …

… art in cluster validity, or the verification of results from clustering … influenced by regard to their
robustness. One can justify such … For exaWe applied this test to the computer performance …

… cluster centers, since the cluster centers obtained are located at some data points. Moreover,
since no cluster validity is used, the clusters … affects the performance of the validity index, …