Design and choice of projection indices
暂无分享,去创建一个
[1] Simon Morton,et al. Interpretable projection pursuit , 1989 .
[2] Measuring multimodality , 1992 .
[3] M. C. Jones. Discretized and Interpolated Kernel Density Estimates , 1989 .
[4] N. L. Johnson,et al. Multivariate Analysis , 1958, Nature.
[5] B. Silverman,et al. Kernel Density Estimation Using the Fast Fourier Transform , 1982 .
[6] P. Switzer,et al. A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .
[7] R. Fisher. The Advanced Theory of Statistics , 1943, Nature.
[8] Detecting Structures by Means of Projection Pursuit , 1988 .
[9] William H. Press,et al. Numerical recipes , 1990 .
[10] Brian D. Ripley,et al. Stochastic Simulation , 2005 .
[11] I. Good,et al. Density Estimation and Bump-Hunting by the Penalized Likelihood Method Exemplified by Scattering and Meteorite Data , 1980 .
[12] Alexander A. Lubischew. On the Use of Discriminant Functions in Taxonomy , 1962 .
[13] R. Sibson. Information radius , 1969 .
[14] S. Kotz,et al. Symmetric Multivariate and Related Distributions , 1989 .
[15] Vincent Kanade,et al. Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.
[16] Deborah F. Swayne,et al. Xgobi: A Dynamic Graphics Program Implemented in X With a Link to S , 1992 .
[17] Andreas Buja,et al. Direction and Motion Control in the Ground Tour , 1992 .
[18] P. Hall. On Polynomial-Based Projection Indices for Exploratory Projection Pursuit , 1989 .
[19] J. L. Hodges,et al. The Efficiency of Some Nonparametric Competitors of the t-Test , 1956 .
[20] Jürgen Eichenauer-Herrmann,et al. Inversive congruential pseudorandom numbers : a tutorial , 1992 .
[21] D. R. Cox,et al. NOTES ON THE ANALYSIS OF MIXED FREQUENCY1 DISTRIBUTIONS , 1966 .
[22] David W. Scott. The New S Language , 1990 .
[23] L. Tierney. Xlisp-Stat - A Statistical Environment Based on the XLISP Language (Version 2.0) , 1988 .
[24] John W. Tukey,et al. A Projection Pursuit Algorithm for Exploratory Data Analysis , 1974, IEEE Transactions on Computers.
[25] S. M. Ali,et al. A General Class of Coefficients of Divergence of One Distribution from Another , 1966 .
[26] M. Wand,et al. EXACT MEAN INTEGRATED SQUARED ERROR , 1992 .
[27] I. D. Hill,et al. An Efficient and Portable Pseudo‐Random Number Generator , 1982 .
[28] Julia Abrahams,et al. On the selection of measures of distance between probability distributions , 1982, Inf. Sci..
[29] Richard Phillips Feynman,et al. Feynman lectures on physics - Volume 1 , 1963 .
[30] D. Donoho. One-sided inference about functionals of a density , 1988 .
[31] I. Vajda. Theory of statistical inference and information , 1989 .
[32] G. Terrell. The Maximal Smoothing Principle in Density Estimation , 1990 .
[33] J. Marron. Automatic smoothing parameter selection: A survey , 1988 .
[34] W. R. Buckland,et al. Advanced Theory of Statistics Volume 1. , 1970 .
[35] G. Sawitzki,et al. Excess Mass Estimates and Tests for Multimodality , 1991 .
[36] I. Johnstone,et al. Variation Diminishing Transformations: A Direct Approach to Total Positivity and its Statistical Applications , 1981 .
[37] J. B. Lee,et al. Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform , 1990 .
[38] B. Silverman,et al. Using Kernel Density Estimates to Investigate Multimodality , 1981 .
[39] D. Luenberger. Optimization by Vector Space Methods , 1968 .
[40] Jürgen Lehn,et al. A non-linear congruential pseudo random number generator , 1986 .
[41] M. Kendall. Theoretical Statistics , 1956, Nature.
[42] J. Kruskal. TOWARD A PRACTICAL METHOD WHICH HELPS UNCOVER THE STRUCTURE OF A SET OF MULTIVARIATE OBSERVATIONS BY FINDING THE LINEAR TRANSFORMATION WHICH OPTIMIZES A NEW “INDEX OF CONDENSATION” , 1969 .
[43] R. Leighton,et al. Feynman Lectures on Physics , 1971 .
[44] Guy P. Nason,et al. Using Projection Pursuit in Multispectral Image Analysis , 1992 .
[45] George Henry Dunteman,et al. Introduction To Multivariate Analysis , 1984 .
[46] C. Posse. An effective two-dimensional projection pursuit algorithm , 1990 .
[47] David Williams,et al. Probability with Martingales , 1991, Cambridge mathematical textbooks.
[48] Jiayang Sun,et al. Significance levels in exploratory projection pursuit , 1991 .
[49] Christian Posse,et al. Projection pursuit discriminant analysis for two groups , 1992 .
[50] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .