A variable-selection heuristic for K-means clustering MJ Brusco, JD Cradit Psychometrika 66, 249-270, 2001 | 178 | 2001 |
Multicriterion clusterwise regression for joint segmentation settings: An application to customer value MJ Brusco, JD Cradit, A Tashchian Journal of Marketing Research 40 (2), 225-234, 2003 | 103 | 2003 |
Cluster analysis in empirical OM research: survey and recommendations MJ Brusco, R Singh, JD Cradit, D Steinley International Journal of Operations & Production Management 37 (3), 300-320, 2017 | 81 | 2017 |
A simulated annealing heuristic for a bicriterion partitioning problem in market segmentation MJ Brusco, JD Cradit, S Stahl Journal of Marketing Research 39 (1), 99-109, 2002 | 67 | 2002 |
Cautionary remarks on the use of clusterwise regression MJ Brusco, JD Cradit, D Steinley, GL Fox Multivariate Behavioral Research 43 (1), 29-49, 2008 | 63 | 2008 |
Emergent clustering methods for empirical OM research MJ Brusco, D Steinley, JD Cradit, R Singh Journal of Operations Management 30 (6), 454-466, 2012 | 53 | 2012 |
A comparison of 71 binary similarity coefficients: The effect of base rates M Brusco, JD Cradit, D Steinley Plos one 16 (4), e0247751, 2021 | 52 | 2021 |
ConPar: A method for identifying groups of concordant subject proximity matrices for subsequent multidimensional scaling analyses MJ Brusco, JD Cradit Journal of Mathematical Psychology 49 (2), 142-154, 2005 | 37 | 2005 |
Signal detection theory and single observation designs: Methods and indices for advertising recognition testing JD Cradit, A Tashchian, CF Hofacker Journal of Marketing Research 31 (1), 117-127, 1994 | 34 | 1994 |
Graph coloring, minimum-diameter partitioning, and the analysis of confusion matrices MJ Brusco, JD Cradit Journal of Mathematical Psychology 48 (5), 301-309, 2004 | 22 | 2004 |
Affinity propagation: An exemplar‐based tool for clustering in psychological research MJ Brusco, D Steinley, J Stevens, JD Cradit British Journal of Mathematical and Statistical Psychology 72 (1), 155-182, 2019 | 20 | 2019 |
An exact algorithm for hierarchically well-formulated subsets in second-order polynomial regression MJ Brusco, D Steinley, JD Cradit Technometrics 51 (3), 306-315, 2009 | 20 | 2009 |
Combining diversity and dispersion criteria for anticlustering: A bicriterion approach MJ Brusco, JD Cradit, D Steinley British Journal of Mathematical and Statistical Psychology 73 (3), 375-396, 2020 | 17 | 2020 |
A simulated annealing heuristic for a bicriterion partitioning problem in marketing segmentation MJ Bursco, JD Cradit, S Stahl Journal of Marketing Research 39 (1), 99-109, 2002 | 11 | 2002 |
Joint selection of variables and clusters: recovering the underlying structure of marketing data S Brudvig, MJ Brusco, JD Cradit Journal of Marketing Analytics 7, 1-12, 2019 | 8 | 2019 |
Gaussian model‐based partitioning using iterated local search MJ Brusco, E Shireman, D Steinley, S Brudvig, JD Cradit British Journal of Mathematical and Statistical Psychology 70 (1), 1-24, 2017 | 7 | 2017 |
An integrated dominance analysis and dynamic programing approach for measuring predictor importance for customer satisfaction MJ Brusco, JD Cradit, S Brudvig Communications in Statistics-Theory and Methods 48 (21), 5290-5307, 2019 | 6 | 2019 |
Multiobjective Multidimensional (City‐Block) Scaling MJ Brusco, S Stahl, JD Cradit Statistics in the Social Sciences: Current Methodological Developments, 113-133, 2010 | 1 | 2010 |
VOLUME SIXTY-SIX JUNE 2001 NUMBER 2 G Robins, P Pattison, P Elliott, K Sijtsma, RR Meijer, A Maydeu-Olivares, ... Psychometrika, 2001 | | 2001 |
J. DENNIS CRADIT, ARMEN TASHCHIAN, and CHARLES F. HOFACKER JD Cradit JMR, Journal of Marketing Research 31, 117-27, 1994 | | 1994 |