SPAETH2
Cluster Analysis Tools

SPAETH2 is a FORTRAN77 library which analyzes data by grouping it into clusters.

The FORTRAN77 version of the library essentially only contains the KMEANS function.

Licensing:

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

Languages:

SPAETH2 is available in a FORTRAN77 version and a FORTRAN90 version.

Related Data and Programs:

ASA058, a FORTRAN77 library which implements the K-means algorithm of Sparks.

ASA136, a FORTRAN77 library which implements the Hartigan and Wong clustering algorithm.

CITIES, a dataset directory which contains sets of information about cities and the distances between them;

POINT_MERGE, a FORTRAN77 library which considers N points in M dimensional space, and counts or indexes the unique or "tolerably unique" items.

SPAETH, a FORTRAN90 library which can cluster data according to various principles.

SPAETH, a dataset directory which contains datasets for cluster analysis;

SPAETH2, a dataset directory which contains datasets for cluster analysis;

Reference:

1. Helmuth Spaeth,
   Cluster Analysis Algorithms for Data Reduction and Classification of Objects,
   Ellis Horwood, 1980,
   QA278 S6813.
2. Helmuth Spaeth,
   Cluster Dissection and Analysis,
   Theory, FORTRAN Programs, Examples,
   Ellis Horwood, 1985,
   QA278 S68213.

Source Code:

• spaeth2.f, the source code.

Examples and Tests:

• spaeth2_prb.f, a sample problem.
• spaeth2_prb_output.txt, the output file.

List of Routines:

• KMEANS clusters data using the K-Means algorithm.
• RANDP randomly partitions a set of M items into N clusters.
• TIMESTAMP prints out the current YMDHMS date as a timestamp.
• URAND returns a pseudo-random number uniformly distributed in [0,1].

You can go up one level to the FORTRAN77 source codes.