TABLE Files
A file format for double indexed data

TABLE is a data directory which contains examples of TABLE files, which are a simple homegrown storage format for doubly indexed data.

A TABLE file has a simple structure. There are three kinds of records:

• COMMENT LINES begin with the character '#' and are ignored;
• BLANK LINES are ignored, but could be used by a particular program to indicate some intending grouping or separation of records.
• COORDINATE LINES each contain one set of point coordinates;

Licensing:

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Example TABLE Files:

Example: 3 points in 2D

        #  Corners of a triangle
        #
        0.0  0.0
        1.0  0.0
        0.0  1.0
      

Example: 4 points in 3D

        #  Corners of a tetrahedron
        #
        0.0  0.0  0.0
        1.0  0.0  0.0
        0.0  1.0  0.0
        0.0  0.0  1.0
      

Example: 3 points in 7D

        #  Three points in 7 dimensions.
        #
        0.7  0.2  0.2  0.3  0.5  0.6  0.3
        1.9  1.3  1.2  2.2  2.2  2.2  9.1
        0.9  0.7  1.1  0.4  0.8  2.7  0.0
      

Related Data and Programs:

Two special cases of this format are

• XY files, for 2D data;
• XYZ files, for 3D data;

TABLE File Characteristics:

• ASCII
• No compression
• 1 "image"

Sample Files:

• The CVT dataset collection, tables of pointsets in M dimensions, generated by the centroidal Voronoi tessellation technique;
• The CVT MOD dataset collection, tables of pointsets in M dimensions, generated by the centroidal Voronoi tessellation technique with a special modularized geometry that eliminates boundary effects;
• diamond_02_00009.txt, 9 points in 2D, whose Voronoi diagram includes a diamond;
• The FAURE dataset collection, tables of pointsets in M dimensions, generated by the Faure quasirandom sequence;
• The GRID dataset collection, tables of pointsets in M dimensions, generated by choosing (some) points on a regular grid;
• The HALTON dataset collection, tables of pointsets in M dimensions, generated by the Halton quasirandom sequence;
• The HAMMERSLEY dataset collection, tables of pointsets in M dimensions, generated by the Hammersley quasirandom sequence;
• The HEX GRID dataset collection, tables of pointsets in M dimensions, generated by constructing a hexagonal grid in a rectangle;
• The Improved Hyper Square dataset collection, tables of pointsets in M dimensions which are Latin hypercubes, with a shuffling scheme applied to improve the distribution;
• The LATIN CENTER dataset collection, tables of pointsets in M dimensions which are Latin hypercubes, with each point chosen in the center of its subsquare;
• The LATIN EDGE dataset collection, tables of pointsets in M dimensions which are Latin hypercubes, with the point chosens as the corners of the subsquares;
• The LATIN RANDOM dataset collection, tables of pointsets in M dimensions which are Latin hypercubes, with each point chosen randomly from a subsquare;
• The LCVT dataset collection, tables of pointsets in M dimensions, generated by the "latinized" CVT technique;
• The LCVT MOD dataset collection, tables of pointsets in M dimensions, generated by the "latinized" CVT technique with a MOD operation employed to eliminate boundary effects;
• The LHS dataset collection, tables of pointsets in M dimensions, generated by the Latin Hyper Square system;
• The NIEDERREITER2 dataset collection, tables of pointsets in M dimensions, generated by the Niederreiter quasirandom sequence with base 2;
• The orthogonal array collection, tables of integer matrices, which are a generalization of Latin squares;
• The Romero dataset collection, tables of pointsets in M dimensions, generated by the "latinized" CVT technique;
• The SAMPLE2D dataset collection, tables of pointsets in M dimensions, generated by a variety of techniques;
• The SOBOL dataset collection, tables of pointsets in M dimensions, generated by the Sobol quasirandom sequence;
• the SPAETH dataset, a set of files of data for demonstrating clustering techniques.
• the SPAETH2 dataset, a set of files of data for demonstrating clustering techniques.
• tetrahedron_03_00004.txt, 4 points in 3D, which form a tetrahedron;
• The UNIFORM dataset collection, tables of pointsets in M dimensions, generated by a a simple uniform pseudorandom number generator;

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