Explorer - Example Output
Professional and Enterprise Editions
Main data grid
Summary statistics
Histograms
Categorical frequencies
Correlation matrices
Box plot (normalized features)
Box plot (van Der Waerden scores)
Correlation significance matrix
Covariance
Euclidean distance
Force plots
2-Sample t-tests, Mann-Whitney, chi-squared test
k-Sample ANOVA, Welch ANOVA, Kruskal-Wallis, chi-squared tests
Paired t-test
McNemar's test
Univariate and multiple linear regression
Regression diagnostics (residuals) - multiple linear regression
Regression diagnostics (DFBETAS) - multiple linear regression
Regression diagnostics (VIFs) - multiple linear regression
Multivariate linear regression
Goodness-of-fit - multivariate linear regression
Univariate and multiple binary logistic regression
Regression diagnostics (residuals) - Multiple binary logistic regression
Regression diagnostics (GOF) - Multiple binary logistic regression
Univariate and multivariable polytomous logistic regression
Polytomous logistic regression - Odds ratios, predicted class memberships
Poisson regression
Regression diagnostics (residuals) - Poisson regression
Regression diagnostics (DFBETAS) - Poisson regression
Automatic optimal power determination for geometric models - Poisson regression
Kaplan-Meier analysis with logrank test
Output icons for Cox PH regression
Univariate Cox proportional hazards regression
Cox proportional hazards regression
Predicted survival - Cox PH regression
Cox-Snell residuals vs. Nelson-Aalen cumulative hazard - Cox PH regression
Martingale residuals - Cox PH regression
Deviance residuals - Cox PH regression
Proportional hazards plot (Edema, PBC data)
Proportional hazards plot (Stage, PBC data)
Proportional hazards plot (Relapse, Leukemia remission data)
Test of proportional hazards assumption (scaled Schoenfeld residuals)
Violation of PH assumption by second edema group (PBC data)
Professional Edition
(includes all options in Standard Edition)
Super-resolution root MUSIC
Fast wavelet transform (FWT)
Pattern/class discovery - Command pull-down menu
Pattern/class discovery - Crisp K-means clustering - Bar graph of centers by cluster
Pattern/class discovery - Crisp K-means clustering - Heat map of centers by cluster
Pattern/class discovery - Self organizing maps - U-matrix
Pattern/class discovery - Self organizing maps - Feature component map
Pattern/class discovery - Self organizing maps - Entropy
Pattern/class discovery - Self organizing maps - Connection map
Pattern/class discovery - Diffusion Maps
Pattern/class discovery - Unsupervised random forests
Pattern/class discovery - Locality preserving projections
Pattern/class discovery - PCA
Pattern/class discovery - Classic multidimensional scaling
Pattern/class discovery - t-Stochastic Neighbor Embedding (t-SNE)
Pattern/class discovery - Non-negative matrix factorization (NMF) - 2D plot
Pattern/class discovery - NMF W matrix
Pattern/class discovery - NMF H matrix
Pattern/class discovery - Kernel PCA
Pattern/class discovery - Hierarchical cluster analysis
Pattern/class discovery - Cluster validity
Pattern/class discovery - Composite of score plots for all unsupervised methods (Wine data - 2D)
Pattern/class discovery - Composite of overlap plots for all unsupervised methods (Wine data - 2D)
Class prediction - Command pull-down menu
Class prediction - Supervised random forests
Class prediction - Supervised random forests - feature importance scores
Class prediction - Decision tree classification
Class prediction - Bootstrap Bias Accuracy
Class prediction - Predictive accuracy
Class prediction - Sensitivity/specificity
Class prediction - ROC-AUC curves
Class prediction - Class pairwise AUC tables
Class prediction - Mean AUC tables
Class prediction - Ensemble diversity
Association Rules
Enterprise Edition
(includes all options in Professional Edition)
Text mining via stemming & stopping: clusters (word frequencies) bar chart
Text mining via stemming & stopping: clusters (word frequencies) bubble chart
Text mining via N-grams
Component subtraction, fitting Marcenko-Pastur distribution of covariance eigenvalues
Component subtraction, PCA of data with effect of primary eigenvector removed
Component subtraction, PCA of denoised data
Component subtraction, PCA of data with effect of primary eigenvector removed and denoised
Simulation: Specifying distributions, objective function, and correlation matrix
Empirical cumulative distribution fitting (ECDF)
Rayleigh distribution pdfs
Gumbel distribution pdfs
Erlang distribution cdfs
Laplace distribution pdfs
Stable distribution pdfs
Simulated correlated variates from beta, beta-pert, F-ratio, Rayleigh, and triangle distributions
Monte Carlo cost analysis (cost distribution)
Monte Carlo cost analysis (cdf of cost distribution)
