• Contents
• Basics
  • Basics of data management in the NDA
    • Basic data types
    • Naming of the data items
• 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
• Appendices
  • Quick reference
    • Basic operations for managing the name space
    • Data reorganization
    • File I/O
    • Graphics
    • Image processing
    • Basic computing operations
    • Algorithms
    • Commands for graphical user interfaces (Xview)
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