Cluster analysis applied to regional geochemical data: Problems and possibilities
Tài liệu tham khảo
Aitchison, 1986
Aitchison, 1992, On criteria for measures of compositional difference, Math. Geol., 24, 365, 10.1007/BF00891269
Aitchison, 2000, Logratio analysis and compositional distance, Math. Geol., 32, 271, 10.1023/A:1007529726302
Aitchison, 2003
Aitchison, 2000, Logratio analysis and compositional distance, Math. Geol., 32, 257, 10.1023/A:1007529726302
Bandemer, 1992
Barcelo-Vidal, 1996, Some aspects of transformations of compositional data and the identification of outliers, Math. Geol., 28, 501, 10.1007/BF02083658
Bezdek, 1981
Box, 1964, An analysis of transformations, J. Roy. Statist. Soc. B, 26, 211
Breiman, 1996, Bagging predictors, Machine Learning, 24, 123, 10.1007/BF00058655
Breiman, 2001, Random forests, Machine Learning, 45, 5, 10.1023/A:1010933404324
2006
Butler, 1976, Principal components analysis using the hypothetical closed array, Math. Geol., 8, 25, 10.1007/BF01039682
Calinski, 1974, A dendrite method for cluster analysis, Commun. Statist., 3, 1, 10.1080/03610927408827101
Cohen, 1991
Davis, 1973
Dempster, 1977, Maximum likelihood from incomplete data via the EM algorithm (with discussion), J. Roy. Statist. Soc. B, 39, 1
Dunn, 1973, A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters, J. Cybernetics, 3, 32, 10.1080/01969727308546046
Egozcue, 2003, Isometric logratio transformations for compositional data analysis, Math. Geol., 35, 279, 10.1023/A:1023818214614
Everitt, 1974
Filzmoser, 2008, Outlier detection for compositional data using robust methods, Math. Geol., 40, 233
Filzmoser, 2005, Multivariate outlier detection in exploration geochemistry, Comput. Geosci., 31, 579, 10.1016/j.cageo.2004.11.013
Fraley, 1998, How many clusters? Which clustering method? Answers via model-based cluster analysis, Comput. J., 41, 578, 10.1093/comjnl/41.8.578
Fraley, 2002, Model-based clustering, discriminant analysis and density estimation, J. Am. Statist. Assoc., 97, 611, 10.1198/016214502760047131
Frapporti, 1996, Trace element in the shallow groundwater of the Netherlands. A geochemical and statistical interpretation for the nation monitoring network data, Aquat. Geochem., 2, 51, 10.1007/BF00240853
Friedman, 2004, Clustering objects on subsets of attributes (with discussion), J. Roy. Statist. Soc. B, 66, 815, 10.1111/j.1467-9868.2004.02059.x
Gath, 1989, Unsupervised optimal fuzzy clustering, IEEE Trans. Pattern Anal. Intelligence, 11, 773, 10.1109/34.192473
Gordon, 1999
Gower, 1966, Some distance properties of latent root and vector methods used in multivariate analysis, Biometrika, 53, 325, 10.1093/biomet/53.3-4.325
Gustafson, 1979, Fuzzy clustering with a fuzzy covariance matrix, Proceedings of the IEEE-CDC, 2, 761
Haldiki, 2002, Cluster validity methods, SIGMOD Record, 31, 40, 10.1145/565117.565124
Hartigan, 1975
Helsel, 1990, Less than obvious: statistical treatment of data below the detection limit, Environ. Sci. Technol., 24, 1767, 10.1021/es00082a001
Helsel, 2004
Hubert, 1985, Comparing partitions, J. Classif., 2, 193, 10.1007/BF01908075
Ji, 2007, Semi-hierarchical correspondence cluster analysis and regional geochemical pattern recognition, J. Geochem. Explor., 93, 109, 10.1016/j.gexplo.2006.10.002
Ji, 1995, Correspondence cluster analysis and its application in exploration geochemistry, J. Geochem. Explor., 55, 137, 10.1016/0375-6742(95)00025-9
Kaufman, 1990
Leisch, F., 1999. Bagged clustering. Working Paper 51, SFB Adaptive Information Systems and Modeling in Economics and Management Science, Wirtschaftsuniversität Wien, Austria.
Leisch, 2006, A toolbox for k-centroids cluster analysis, Comput. Statist. Data Anal., 51, 526, 10.1016/j.csda.2005.10.006
Le Maitre, 1982
MacQueen, 1967
Martinetz, 1993, Neural-gas network for vector quantization and its application to time-series prediction, IEEE Trans. Neural Networks, 4, 558, 10.1109/72.238311
R Development Core Team, 2006. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0.
Raftery, A.E., Dean, N., 2004. Variable selection for model-based clustering. Technical Report 452, Department of Statistics, University of Washington.
Reimann, 2000, Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data, Environ. Geol., 39, 1001, 10.1007/s002549900081
Reimann, 2007, Element contents in leaves of four plant species (birch, mountain ash, fern and spruce) along anthropogenic and geogenic concentration gradients, Sci. Total Environ., 377, 416, 10.1016/j.scitotenv.2007.02.011
Reimann, 2006, The influence of a city on element contents of a terrestrial moss (Hylocomium splendens), Sci. Total Environ., 369, 419, 10.1016/j.scitotenv.2006.04.026
Reimann, 2007, Element contents in birch leaves, bark and wood under different anthropogenic and geogenic conditions, Appl. Geochem., 22, 1549, 10.1016/j.apgeochem.2007.03.048
Reimann, 1998
Reimann, 2002, Factor analysis applied to regional geochemical data: problems and possibilities, Appl. Geochem., 17, 185, 10.1016/S0883-2927(01)00066-X
Ripley, 1996
Rock, 1988
Sanford, 1993, An objective replacement method for censored geochemical data, Math. Geol., 25, 59, 10.1007/BF00890676
Templ, M., 2003. Cluster Analysis applied to Geochemical Data. Diploma Thesis, Vienna University of Technology, Vienna, Austria.
Ward, 1963, Hierarchical grouping to optimize an objective function, J. Am. Statist. Assoc., 58, 236, 10.2307/2282967
Yeung, 2001, An empirical study on principal component analysis for clustering gene expression data, Bioinformatics, 17, 763, 10.1093/bioinformatics/17.9.763