Michael Brusco

Synovus Professor of Business Administration
Michael Brusco
359 RBB
Academic Specialty
Business Analytics

Ph.D., Florida State University, 1990
MBA, Florida State University, 1986
BBA, Florida Atlantic University, 1985
A.A., Broward Community College, 1982

Areas of Expertise

Linear ordering

Dr. Brusco’s current research focuses on clustering, network analysis, and variable/feature selection in the psychological and behavioral sciences.

Selected Published Research

Brusco, M. J. (2006). A repetitive branch-and-bound algorithm for minimum within-cluster sums of squares partitioning. Psychometrika, 71 (2), 347-363.

Brusco, M. J., & Stahl, S. (2005). Optimal least-squares unidimensional scaling: Improved branch-and-bound procedures and a comparison to dynamic programming. Psychometrika, 70 (2), 253-270.

Brusco, M. J., & Cradit, J. D. (2005). ConPar: A method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses. Journal of Mathematical Psychology, 49 (2), 142-154

Brusco, M. J., & Cradit, J. D. (2004). Graph coloring, minimum-diameter partitioning, and the analysis of confusion matrices. Journal of Mathematical Psychology, 48 (5), 301-309.

Brusco, M. J. (2002). Identifying a reordering of the rows and columns of multiple proximity matrices using multiobjective programming. Journal of Mathematical Psychology, 46 (6), 731-745.

Brusco, M. J. (2002). A branch-and-bound method for fitting anti-Robinson structures to symmetric dissimilarity matrices. Psychometrika, 67 (3), 459-471.

Brusco, M. J., & Stahl, S. (2001). Compact integer programming models for extracting subsets of stimuli from confusion matrices. Psychometrika, 66 (3), 405-420.

Brusco, M. J., & Cradit, J. D. (2001). A variable selection heuristic for K-means clustering. Psychometrika, 66 (2), 249-270.

Brusco, M. J., & Stahl, S. (2001). An interactive approach to multiobjective combinatorial data analysis. Psychometrika, 66 (1), 5-24