The MODECLUS Procedure

Gitman, I. (1973), “An Algorithm for Nonsupervised Pattern Classification,” IEEE Transactions on Systems, Man, and Cybernetics.

Hartigan, J. A. and Hartigan, P. M. (1985), “The Dip Test of Unimodality,” Annals of Statistics, 13, 70–84.

Huizinga, D. H. (1978), A Natural or Mode Seeking Cluster Analysis Algorithm, Technical Report 78-1, Behavioral Research Institute, 2305 Canyon Blvd., Boulder, CO 80302.

Koontz, W. L. G. and Fukunaga, K. (1972a), “Asymptotic Analysis of a Nonparametric Clustering Technique,” IEEE Transactions on Computers, C-21, 967–974.

Koontz, W. L. G. and Fukunaga, K. (1972b), “A Nonparametric Valley-Seeking Technique for Cluster Analysis,” IEEE Transactions on Computers, C-21, 171–178.

Koontz, W. L. G., Narendra, P. M., and Fukunaga, K. (1976), “A Graph-Theoretic Approach to Nonparametric Cluster Analysis,” IEEE Transactions on Computers, C-25, 936–944.

Minnotte, M. C. (1992), A Test of Mode Existence with Applications to Multimodality, Ph.D. thesis, Rice University, Department of Statistics, Houston, TX.

Mizoguchi, R. and Shimura, M. (1980), “A Nonparametric Algorithm for Detecting Clusters Using Hierarchical Structure,” IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-2, 292–300.

Müller, D. W. and Sawitzki, G. (1991), “Excess Mass Estimates and Tests for Multimodality,” Journal of the American Statistical Association, 86, 738–746.

Polonik, W. (1993), Measuring Mass Concentrations and Estimating Density Contour Clusters—An Excess Mass Approach, Technical Report 7, Beitraege zur Statistik, Universitaet Heidelberg.

Sarle, W. S. (1982), “Cluster Analysis by Least Squares,” in Proceedings of the Seventh Annual SAS Users Group International Conference, 651–653, Cary, NC: SAS Institute Inc.

Scott, D. W. (1992), Multivariate Density Estimation: Theory, Practice, and Visualization, New York: John Wiley & Sons.

Silverman, B. W. (1986), Density Estimation for Statistics and Data Analysis, New York: Chapman & Hall.

Struve, O. and Zebergs, V. (1962), Astronomy of the Twentieth Century, New York: Macmillan.

Tukey, P. A. and Tukey, J. W. (1981), “Data-Driven View Selection: Agglomeration and Sharpening,” in V. Barnett, ed., Interpreting Multivariate Data, 215–243, Chichester: John Wiley & Sons.

Wong, M. A. and Lane, T. (1983), “A kth Nearest Neighbor Clustering Procedure,” Journal of the Royal Statistical Society, Series B, 45, 362–368.

Wong, M. A. and Schaack, C. (1982), “Using the kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations,” American Statistical Association 1982 Proceedings of the Statistical Computing Section, 40–48.