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)
• About this document ...

Alphabetical list of commands

a:

abp (5.2.3) addcl (2.15) addcld (2.15) addfzs (4.7.2) addgf (7.12.2) addsg (7.1.2) attchdat (2.6) axis (7.2.7)

b:

balance (6.3) bar (7.4.3) bgimg (7.8) bin (3.9) bmucl (3.11) bp (5.2.1)

c:

calcfuzzy (6.6) calcfz (4.7.5) calcumat (5.1.7) cd (2.1) cladev (4.6.5) classical (5.3) clavg (4.6.1) clddiff (3.15) cldiff (3.15) cldinsec (3.15) cldist (4.6.6) cldunion (3.15) clhisto (4.6.7) clhits (4.6.4) clhits (4.6.1) clinsec (3.15) clkey (4.6.3) clkey (4.6.1) clmax (4.6.1) clmin (4.6.1) clname (4.6.2) clquar (4.6.5) clstat (4.6) clsum (4.6.1) clunion (3.15) clvar (4.6.1) cmdquar (4.5.3) cntr (7.2.5) cnvimg (6.2) colors (7.5) concseq (3.13) conv (6.5) convmatrix (6.2) copy (2.5) cpcl (2.15) cpcld (2.15) crop (6.2)

d:

d2m (2.17.2) datplc (7.2.8) dis (7.9)

e:

en (7.9) equrec (4.1.3) evalcld (4.4) evalrecs (4.3) expr (4.2.2)

f:

f2m (2.17.2) fbp (5.2.8) fcm (5.4.3) fft2 (6.5) fft (6.5) filter (6.3) findcl (3.6) fldavg (4.5.1) flddev (4.5.1) fldhisto (4.5.2) fldmax (4.5.1) fldmin (4.5.1) flds2str (2.11) fldstat (4.5) fldsum (4.5.1) fldvar (4.5.1) fndpnt (7.13.2) fndreg (7.13.2) freqstat (6.6) func1 (7.4.8) fval (7.4.9)

g:

gcolor (7.6) getdata (2.7) getfzpnt (4.7.3) getg (7.10) grpumat (5.1.7)

h:

hclust (5.4.1) histoeq (6.4) hst (7.4.7)

i:

ijoin (3.2) initfz (4.7.3)

j:

join (3.2) joinind (3.3)

k:

kmeans (5.4.2)

l:

layer (7.2.1) ldgr (7.4.5) ldgrc (7.4.5) ldgrcld (7.4.5) ldgrv (7.4.6) len (2.8) lmbp (5.2.7) load (8.1) ls (2.2)

m:

m2d (2.17.2) matrix (2.17.1) mbp (5.2.2) md (2.1) mergecld (3.7) mixseq (3.14) mkfz (4.7.1) mkgf (7.12.1) mkgrp (7.1.1) mlbp (5.2.4) msd (4.1.4) msdbycen (4.1.4)

n:

ncolor (7.3.5) nconn (7.2.4) ndatplc (7.4.2) ndiam (7.3.4) ngray (7.3.5) nplc (7.3.1) nshape (7.3.2) nsize (7.3.3) nvsbl (7.3.6)

p:

photohisto (6.4) pickrec (3.8) prepro (4.1.1) print (2.17.1) psl (5.1.6) pwd (2.1)

r:

rd (2.1) reclab (7.4.10) ren (2.4) rlab (7.4.9) rm (2.3) rmimg (7.13.1) rmsg (7.1.2) rngplt (7.4.4) rpbp (5.2.6) runcmd (8.4) runevent (7.13.3)

s:

sabp (5.2.5) sammon (5.3) save (8.2) savegrp (7.11) saxis (7.4.1) scaling (7.5) sec2time (2.16) selcl (4.2.4) selcld (4.2.5) select (2.12) selrec (4.2.3) selseq (3.12) serie (2.10) setdata (2.9) setfzs (4.7.3) setgcld (7.1.1) setgdat (7.1.1) setgfimg (7.13.4) setgfplc (7.12.3) setimg (7.13.1) setsg (7.1.2) shape (2.17.2) smhsom (5.1.3) somcl (5.1.2) somgrid (5.1.10) somindex (5.1.5) somlayer (5.1.4) somproj (5.1.9) somsprd (5.1.8) somtr (5.1.1) sons (7.2.2) sort (3.10) ssl (5.1.6)

t:

threshold (6.3) time2sec (2.16) topo (7.2.2) traj (7.2.3) transpose (3.1)

u:

umat (7.2.6) uniq (3.4) uniqcl (3.5) updcl (2.15) updgr (7.13.5)

v:

viewp (7.7) visualfft (6.5)

w:

whitening (4.1.2) wrps (8.3)