Effects of small sample sizes on the symmetry and reliability of dendrograms

[1]  Eric R. Ziegel,et al.  Applied Multivariate Data Analysis , 2002, Technometrics.

[2]  K. Vehkalahti,et al.  Cluster Analysis , 2002, Science.

[3]  Richard E. Strauss,et al.  Cluster analysis and the identification of aggregations , 2001, Animal Behaviour.

[4]  Joachim M. Buhmann,et al.  A theory of proximity based clustering: structure detection by optimization , 2000, Pattern Recognit..

[5]  J. Summers,et al.  Latitudinal gradients in benthic community composition in Western Atlantic estuaries , 1999 .

[6]  R. Page,et al.  Phylogenetic Noise Leads to Unbalanced Cladistic Tree Reconstructions , 1995 .

[7]  J. Musick,et al.  Trophic ecology of two congeneric pipefishes (Syngnathidae) of the lower York River, Virginia , 1995, Environmental Biology of Fishes.

[8]  S. Reichling The Taxonomic Status of the Louisiana Pine Snake (Pituophis melanoleucus ruthveni) and its Relevance to the Evolutionary Species Concept , 1995 .

[9]  D. H. Colless,et al.  RELATIVE SYMMETRY OF CLADOGRAMS AND PHENOGRAMS : AN EXPERIMENTAL STUDY , 1995 .

[10]  F. McMorris,et al.  The agreement metric for labeled binary trees. , 1994, Mathematical biosciences.

[11]  Babu Joseph,et al.  Exploratory data analysis using inductive partitioning and regression trees , 1992 .

[12]  G. W. Milligan,et al.  A Comparison of Two Approaches to Beta-Flexible Clustering. , 1992, Multivariate behavioral research.

[13]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[14]  Enrique P. Lessa,et al.  MULTIDIMENSIONAL ANALYSIS OF GEOGRAPHIC GENETIC STRUCTURE , 1990 .

[15]  P. Pamilo STATISTICAL TESTS OF PHENOGRAMS BASED ON GENETIC DISTANCES , 1990, Evolution; international journal of organic evolution.

[16]  J. Breckenridge Replicating Cluster Analysis: Method, Consistency, and Validity. , 1989, Multivariate behavioral research.

[17]  G. W. Milligan,et al.  A Study of the Beta-Flexible Clustering Method. , 1989, Multivariate behavioral research.

[18]  Subir Ghosh,et al.  Statistical Analysis With Missing Data , 1988 .

[19]  A. Nemec,et al.  Using the Bootstrap to Assess Statistical Significance in the Cluster Analysis of Species Abundance Data , 1988 .

[20]  P. Digby,et al.  Multivariate Analysis of Ecological Communities , 1987, Population and Community Biology.

[21]  H. Bock On some significance tests in cluster analysis , 1985 .

[22]  L C Morey,et al.  A Comparison of Cluster Analysis Techniques Withing a Sequential Validation Framework. , 1983, Multivariate behavioral research.

[23]  Richard E. Struass Statistical Significance of Species Clusters in Association Analysis , 1982 .

[24]  A. Tversky,et al.  Spatial versus tree representations of proximity data , 1982 .

[25]  G. W. Milligan A Review Of Monte Carlo Tests Of Cluster Analysis. , 1981, Multivariate behavioral research.

[26]  Donald H. Colless,et al.  Congruence Between Morphometric and Allozyme Data for Menidia Species: A Reappraisal , 1980 .

[27]  Leslie F. Marcus,et al.  Morphometrics: Multivariate Analysis of Biological Data. , 1978 .

[28]  Peter H. A. Sneath,et al.  Numerical Taxonomy: The Principles and Practice of Numerical Classification , 1973 .

[29]  W. T. Williams,et al.  A Generalized Sorting Strategy for Computer Classifications , 1966, Nature.

[30]  G. W. Milligan,et al.  CLUSTERING VALIDATION: RESULTS AND IMPLICATIONS FOR APPLIED ANALYSES , 1996 .

[31]  G. Musser,et al.  Systematic Studies Of Oryzomyine Rodents (Muridae, Sigmodontinae) - Definition And Distribution Of Oligoryzomys-Vegetus (Bangs, 1902) , 1995 .

[32]  M. Schader,et al.  New Approaches in Classification and Data Analysis , 1994 .

[33]  D. Penny,et al.  Search, Parallelism, Comparison, and Evaluation: Algorithms for Evolutionary Trees , 1990 .

[34]  Hans-Hermann Bock,et al.  Probabilistic Aspects in Cluster Analysis , 1989 .

[35]  林 知己夫,et al.  Recent developments in clustering and data analysis = Développements récents en classification automatique et analyse des données : proceedings of the Japanese-French Scientific Seminar, March 24-26, 1987 , 1988 .

[36]  Hans-Hermann Bock,et al.  Classification and Related Methods of Data Analysis , 1988 .

[37]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[38]  Fionn Murtagh,et al.  A Probability theory of hierarchic clustering using random dendrograms , 1983 .

[39]  G. W. Milligan,et al.  The validation of four ultrametric clustering algorithms , 1980, Pattern Recognit..

[40]  Richard C. Dubes,et al.  Stability of a hierarchical clustering , 1980, Pattern Recognit..

[41]  Anil K. Jain,et al.  Validity studies in clustering methodologies , 1979, Pattern Recognit..

[42]  P. Sneath BASIC program for a significance test for clusters in UPGMA dendrograms obtained from squared Euclidean distances , 1979 .

[43]  J. Kruskal The Relationship between Multidimensional Scaling and Clustering , 1977 .

[44]  J. Hartigan Distribution Problems in Clustering , 1977 .

[45]  R. Sokal Clustering and Classification: Background and Current Directions , 1977 .