Introduction/Motivation

• Graphical Methods in Statistics (Fienberg, The American Statistician, 1979) Paper

Continuous Variables and their Distributions

• Smoothed Histograms for Frequency Data on Irregular Intervals (D Scott and W Scott, American Statistician, 2008) Paper
• On Optimal and Data-Based Histograms (also discusses density estimate bandwidths) (D Scott, Biometrika, 1979 Paper
• Data-Based Choice of Histogram Bin Width (M.P. Wand, The American Statistician,1997) (M.P. Wand, The American Statistician, 1997) Paper
• Averaged Shifted Histograms: Effective Nonparametric Density Estimators in Several Dimensions Paper
• Density Estimation (discussion of bandwidths and kernels) (Sheather, Statistical Science, 2004) Paper
• A Brief Survey of Bandwidth Selection for Density Estimation (Jones, Marron, Sheather, JASA 1996) Paper
• The Box-Percentile Plot (Esty and Banfield) Paper
• Beanplot: A Boxplot Alternative for Visual Comparison of Distributions (Kampstra) Paper
• Violin Plots: A Box Plot-Density Trace Synergism (Hintze, Nelson, The American Statistician, 1998) Paper

Relationships and Joint Distributions of Two Continuous Variables

• The Many Faces of a Scatterplot (Cleveland, McGill, Journal of the American Statistical Association, 1984)
• A Suggestion for Sunflower Plots (Schilling, Watkins, The American Statistician, 1994) Paper
• Kernel Smoothing (Wand, Jones, Chapman & Hall, 1995)
• Comparison of smoothing parameterizations in bivariate kernel density estimation (Wand, Jones, 1993)
• Clustering Algorithms (Hartigan, Wiley, 1975) - for level set and cluster tree info

Modeling the Relationship between Two Variables

• Astrostatistics: The Final Frontier (Freeman, Richards, Schafer, Lee, Chance, 2008) Paper
• Hertsprung-Russell Diagram (Wikipedia) Info
• Hipparcos Stars (Penn State) Info
• Applied Linear Regression Models (Kutner, Nachtsheim, Neter; McGraw Hill, 2004)

Linear Models vs. Smoothers

• Applied Linear Regression Models (Kutner, Nachtsheim, Neter; McGraw Hill, 2004)
• Robust Locally Weighted Regression and Smoothing Scatterplots (Cleveland, JASA, 1979) Paper
• LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression (Cleveland, The American Statistician, 1981)
• Linear Smoothers and additive models (with discussion) (Buja, Hastie, Tibshirani, Annals of Statistics, 1989) Paper
• Generalized Additive Models (Hastie, Tibshirani; Chapman and Hall, 1990)
• Statistical Models in S (Chambers, Hastie; Wadsworth & Brooks/Cole, 1992)

Multivariate Regression (Trees)

• Applied Linear Regression Models (Kutner, Nachtsheim, Neter; McGraw Hill, 2004)
• The Elements of Statistical Learning (Hastie, Tibshirani, Friedman; Springer, 2013) Book Online
• An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani; Springer, 2013) Book Online
• Classification and Regression Trees (Breiman; Wadsworth, 1984)

Classifiers (Trees, LDA, QDA)

• See last three references in previous list
• Pattern Recognition and Neural Networks (Ripley; Cambridge University Press, 1996)

Icons/Glyphs

• The Use of Faces to Represent Points in K-Dimensional Space Graphically (Chernoff, JASA, 1973) Paper

Clustering

• Clustering Algorithms (Hartigan, Wiley & Sons, 1975)
• Algorithm AS 136: A k-means clustering algorithm (Hartigan and Wong, Applied Statistics, 1979) Paper
• Least Squares Quantization in PCM (Lloyd, IEEE Trans. Information Theory, 1982) Paper
• K-means clustering: A half-century synthesis (Steinley, British Journal of Mathematical and Statistical Psychology, 2006)
• Spherical K-Means Clustering (Hornik, Feinerer, Kober, Buchta; Journal of Statistical Software, 2012) Paper
• A Comparison of Document Clustering Techniques (Steinbach, Karypis, Kumar) Paper
• On Spectral Clustering: Analysis and an algorithm (Ng, Jordan, Weiss; NIPS, 2010) Paper
• A Random Walks View of Spectral Segmentation (Meila, Shi) Paper
• Model-Based Clustering, Discriminant Analysis, and Density Estimation (Fraley, Raftery, Journal of American Statistical Association, 2002) Paper
• mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation (Fraley, Raftery, Murphy, Scrucca; 2012) Paper
• Consistency of Single Linkage for High-Density Clusters (Hartigan, Journal of the American Statistical Association, 1981) Paper
• A Generalized Single Linkage Method for Estimating the Cluster Tree of a Density (Stuetzle, Nugent, Journal of Computational and Graphical Statistics; 2010) Paper