Editorial
Tài liệu tham khảo
BROWN, E.K., and DAY, W.H.E. (1984), “A Computationally Efficient Approximation to the Nearest Neighbor Interchange Metric”, Journal of Classification, 1(1), 93–124.
BRUSCO, M.J., and CRADIT, J.D. (2001), “A Variable Selection Heuristic for K-means Clustering”, Psychometrika, 66(2), 249–270.
BRUSCO, M.J., and STEINLEY, D. (2007), “A Variable Neighborhood Search Method for Generalized Blockmodeling of Two-Mode Binary Matrices”, Journal of Mathematical Psychology, 51(5), 325–338.
CHOULAKIAN, V., and DE TIBEIRO, J. (2013), “Graph Partitioning by Correspondence Analysis and Taxicab Correspondence Analysis”, Journal of Classification, 30(3), 397–427.
DE AMORIM, R.C. (2015), “Feature Relevance in Ward’s Hierarchical Clustering Using the Lp Norm”, Journal of Classification, 32(1), 46–62.
DE SARBO, W.S., CARROLL, J.D., CLARK, L.A., and GREEN, P.E. (1984), “Synthesized Clustering: A Method for Amalgamating Alternative Clustering Bases with Differential Weighting of Variables”, Psychometrika, 49(1), 57–78.
MA, Z., CARDINAL-STAKENAS, A., PARK, Y., TROSSET, M.W., and PRIEBE, C. (2010), “Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity Matrices”, Journal of Classification, 27 (3), 307–321.
SILVERMAN, B.W. (1986), Density Estimation for Statistics and Data Analysis, London: Chapman & Hall.
SIMMONS, J.P., NELSON, L.D., and SIMONSON, U. (2011), “False Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant”, Psychological Science, 22, 1359–1366.
STEINLEY, D., and BRUSCO, M.J. (2008a), “Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures”, Psychometrika, 73(1), 125–144.
STEINLEY, D., and BRUSCO, M.J. (2008b), “A New Variable Weighting and Selection Procedure for K-means Cluster Analysis”, Multivariate Behavioral Research, 43(1), 77–108.