Akkucuk, U. (2004). Nonlinear mapping: approaches based on optimizing an index of continuity and applying classical metric MDS on revised distances. Doctoral Dissertation. Newark, NJ: Rutgers University. (UMI No. 3148774)
Akkucuk, U., & Carroll, J.D. (2006). PARAMAP vs. Isomap: a comparison of two nonlinear mapping algorithms. Journal of Classification, 23(2), 221–254.
Brazill, T. J., & Grofman, B. (2002). Factor analysis versus multi-dimensional scaling: Binary choice roll-call voting and the US supreme court. Social Networks, 24(3), 201–229.
Byrd, R. H., Nocedal, J., & Waltz, R. A. (2006). KNITRO: An integrated package for nonlinear optimization. In Large-scale nonlinear optimization (nonconvex optimization and its applications) (pp. 35–59). New York: Springer.
Hubert, L. J., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193–218.
Hubert, L. J., Arabie, P., & Meulman, J. J. (1997). Linear and circular unidimensional scaling for symmetric proximity matrices. British Journal of Mathematical and Statistical Psychology, 50(2), 253–284.
Kruskal, J. B., Young, F. W., & Seery, J. B. (1977). How to use KYST a very flexible program to do multidimensional scaling and unfolding. Murray Hill: ATT Bell Labs.
MacDonald, S. E., Listhaug, O., & Rabinowitz, G. (1991). Issues and party support in multiparty systems. American Political Science Review, 85(4), 1107–1131.
Shepard, R. N., & Carroll, J. D. (1966). Parametric representation of nonlinear data structures. In Multivariate Analysis (pp. 561–592). New York: Academic.
Stevenson, R. W. (2005, July 2). Court in transition: The overview: O’Connor to retire, touching off battle over court. The New York Times.
Stevenson, R. W., Greenhouse, L., Kirkpatrick, D. D., Lewis, N. A., & Stolberg, S. G. (2005 July 2). Changes at the U.S. supreme court. The New York Times.
von Neumann, J. (1941). Distribution of the ratio of the mean square successive difference to the variance. The Annals of Mathematical Statistics, 12(4), 367–395.