User's reference

• Basic operations for managing the name space
  • Managing directories
  • Listing names in the name space
  • Removing name entries
  • Renaming name entries
  • Copying data frames
  • Attaching data frames
  • Returning contents of the data frames and fields
  • Getting the lenght of the name entry
  • Setting the contents of the data field
  • Creating a data field as a number series
  • Representing the fields of the data frame by a string field
  • Selecting fields to a data
  • Selecting classes to a classified data frame
  • Selecting items to frames
  • Handling classified data frames
  • Conversion for time
  • Matrices
    • Matrix structure
    • Matrix commands
• Data reorganization
  • Transpose of a data frame
  • Joining data frames
  • Indexing through a joining operation
  • Finding unique data records
  • Finding unique indexes from classes
  • Finding the indexes of the classified data from another classified data
  • Merging a grouping and a classified data
  • Picking data records based on a classified data
  • Binarizing a classification to a data
  • Sorting a data
  • Classifying a data by the BMU classifier
  • Classifying data records to sequencies
  • Concatenating sequencies
  • Overlapping sequential data sets
  • Set operations for classes
• Basic computing operations
  • Preprocessing data
    • The basic preprocessing
    • Whitening preprocessor command
    • Equalization values within records
    • Treatment for missing data
  • Field evaluator
    • Expressions
    • Field calculator
    • Record selector
    • Classification by fields
    • Select classes by evaluating a boolean expression
  • Record evaluator
  • Class evaluator
  • Field statistics
    • Basic statistics for fields
    • Histograms for fields
    • Comparison of two data frames
  • Class statistics
    • Basic statistics for classes
    • Class identifiers
    • Identifying classes by values
    • Computing the number of items in classes
    • Values for distributions in classes
    • Distances between data records and classes
    • Histograms for classes
  • Fuzzy sets
    • Creating a fuzzy structure
    • Creating fuzzy sets
    • Setting the membership functions of the fuzzy sets
    • Example sequence about fuzzy operations
    • Computing fuzzy membership values for a field
  • Calculating distance between data and groups
  • Group membership evaluation
• Algorithms
  • The Tree-Structured Self-Organizing Map and related structures
    • Training a TS-SOM
    • Classifying data by a TS-SOM
    • Smoothing data in a TS-SOM
    • Creating a field for a TS-SOM layer
    • Storing the indexes of the neurons to a data frame
    • Getting and setting data in a TS-SOM layer
    • Computing a U-matrix
    • Spreading the groups of the core neurons
    • Mapping data records onto a TS-SOM
    • Generating data according to the grid of the TS-SOM
  • Backpropagation
    • The basic learning rule
    • The basic learning rule with a momentum term
    • Global adaptive training step length
    • The Matlab neural network toolbox style training
    • The Silva & Almeida training
    • The RPROP training
    • The Levenberg-Marquard training
    • Importing a new data to a trained network
    • Visualizing the MLP network
  • Classical scaling and Sammon's mapping
  • Data clustering
    • Hierarchical clustering
    • k-means clustering
    • Fuzzy c-means clustering
• Image processing
  • File commands
  • Basic image commands
  • Filtering and thresholding
  • Histogramming
  • Fourier commands
  • Commands related to fuzzy-analysis
• Graphics
  • Creating and initializing a graphic structure
    • Creating a graphic structure and connecting a data to it
    • Managing subgraphs
  • Setting a structure over subgraphs
    • Setting a layer
    • Setting the topology and son links of the TS-SOM
    • Creating trajectories
    • Connecting neurons
    • Creating contours
    • The U-matrix presentation
    • Axes in three dimensions
    • Scatterplotting in three dimensions
  • Setting graphics for a subgraph
    • Setting the places of neurons in 3D
    • Setting the shape of the neurons
    • Setting the size of the neurons
    • Setting the diameters of the neurons
    • The colors and the gray levels of the neurons
    • The visibility of the neurons
  • Graphical presentations inside subgraphs
    • Axes in subgraphs
    • Plotting data in subgraphs
    • Bars in subgraphs
    • Range plots in subgraphs
    • Line diagrams in subgraphs
    • Line diagrams based on the values of the field
    • Histograms in subgraphs
    • The curves of the functions
    • Field labels and values as text in subgraphs
    • Record labels in subgraphs
  • Colors and scaling
  • Graphics for groups in a SOM
  • Setting a viewpoint to a graphic image in 3D
  • Displaying an image in a window
  • Displaying graphics
  • Getting the settings of the graphic structure
  • Saving the settings of the graphic structure to a file
  • Graphic frames
    • Creating graphic frames
    • Adding a graphic structure to frames
    • Setting the places of the graphic structures in frames
  • Commands for working with a low level image
    • Generating a low level image from a graphic structure
    • Finding objects from a graphic structure
    • Executing macros according to a selection in a graphic structure
    • Generating a low level image for a graphic frame (tech.)
    • Updating a graphic structure
• File I/O
  • Loading data structures from a file
  • Saving data structures to a file
  • PostScript printing
  • Running command files