Datasets which are identical over a number of statistical properties, yet produce dissimilar graphs, are frequently used to illustrate the importance of graphical representations when exploring data. This paper presents a novel method for generating such datasets, along with several examples. Our technique varies from previous approaches in that new datasets are iteratively generated from a seed dataset through random perturbations of individual data points, and can be directed towards a desired outcome through a simulated annealing optimization strategy.
N. Padhy, D. Mishra, und R. Panigrahi. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), 2 (3):
43-58(Juni 2012)
A. Oka, H. Masuhara, T. Imai, und T. Aotani. Companion to the First International Conference on the Art, Science and Engineering of Programming, Seite 26:1--26:7. New York, NY, USA, ACM, (2017)