Bayesian Information Criterion
Class "EMMIX.Theta"
Class "Histogram"
Partition Coefficient
Class "RCLSMIX"
Extracts Chunk from Train and Test Datasets
Minimum Description Length
Predicts Cluster Membership Based Upon a Model Trained by REBMIX
Integrated Classification Likelihood Criterion
Class "RCLS.chunk"
Approximate Integrated Classification Likelihood Criterion
Class "RCLRMIX"
Total of Positive Relative Deviations
Parametric or Nonparametric Bootstrap for Standard Error and Coefficient of Variation Estimation
Plots RNGMIX, REBMIX, RCLRMIX and RCLSMIX Output
Class "RNGMIX"
Predicts Class Membership Based Upon a Model Trained by REBMIX
Random Univariate or Multivariate Finite Mixture Generation
Class "REBMIX"
Class "RNGMIX.Theta"
Sum of Squares Error
REBMIX Algorithm for Univariate or Multivariate Finite Mixture Estimation
Class "REBMIX.boot"
Iris Data Set
Adult Dataset
Sequence of Bins or Nearest Neighbours Generation
Binning of Data
Galaxy Dataset
Fast Histogram Calculation
Bearings Faults Detection Data
Compact Histogram Calculation
Log Likelihood
Label Image Moments
Sensorless Drive Faults Detection Data
Weibull Dataset 8.1
Optimal Numbers of Bins Calculation
Map Clusters
Empirical Density Calculation
Weibull-normal Simulated Dataset
Predictive Marginal Density Calculation
Empirical Distribution Function Calculation
Splits Dataset into Train and Test Datasets
Steel Plates Faults Recognition Data
Truck Dataset
Predictive Marginal Distribution Function Calculation
Wine Recognition Data
Merge Labels Based on Probability Adjacency Matrix
Internal rebmix Functions, Methods and Classes
Akaike Information Criterion
Classification Likelihood Criterion
Predicts Class Membership Based Upon the Best First Search Algorithm
EM Algorithm for Univariate or Multivariate Finite Mixture Estimation
Hannan-Quinn Information Criterion
Approximate Weight of Evidence Criterion
Class "EM.Control"