algorithms are dependent on input presentation/permutation order. In this work, we exploit
Visual Assessment of cluster Tendency (VAT) as a pre-processor for Fuzzy ART in order to
mitigate this problem. This approach is a global strategy that uses similarity-based ordering
before clustering. Experimental results show that this framework improved peak and
average performance, reduced the number of categories, and incurred less variability in the …