CLUSTER_ENERGY
Clusterings with Minimal Energy

CLUSTER_ENERGY is a FORTRAN90 program, using double precision arithmetic, which seeks to organize data into a given number of clusters, in a way which minimizes the cluster energy.

Specifically, suppose we are given a set of data points in NUM_DIM dimensional space. Suppose we are told to use C_NUM clusters. Each cluster is to be represented by a CENTER point. Each data point is to be assigned to a cluster. The total energy is the sum of the cluster energies, and the energy of a cluster is the sum of the squares of the distance of each data point to its center point.

This code allows the user to specify a dimension, the number of data points, the range of the data, a range of cluster values to try, and the number of cluster iterations to carry out. It then tries to compute the minimal cluster energy for the given data, and the various numbers of clusters.

Related Data and Programs:

ASA058 is a FORTRAN90 library which implements the K-means algorithm of Sparks.

ASA136 is a FORTRAN77 file which contains the original text of the Hartigan and Wong clustering algorithm ASA136.

CVT_BASIS is a FORTRAN90 program which uses the CVT algorithm to cluster data.

CVT_BASIS_FLOW is a FORTRAN90 program which uses the CVT algorithm to cluster data related to fluid flow.

KMEANS is a FORTRAN90 library which uses the K-Means algorithm to cluster data.

LAU_NP is a FORTRAN90 library which contains heuristic algorithms for the K-center and K-median problems.

POD_BASIS_FLOW is a FORTRAN90 program which uses the POD algorithm to cluster data related to fluid flow.

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

SPAETH is a dataset directory which contains a set of test data.

SPAETH2 is a FORTRAN90 library which can cluster data according to various principles.

SPAETH2 is a dataset directory which contains a set of test data.

SVD_BASIS is a FORTRAN90 program which uses the Singular Value Decomposition to cluster data.

Reference:

1. John Hartigan, Manchek Wong,
   Algorithm AS 136: A K-Means Clustering Algorithm,
   Applied Statistics,
   Volume 28, Number 1, 1979, pages 100-108.
2. Wendy Martinez, Angel Martinez,
   Computational Statistics Handbook with MATLAB,
   Chapman and Hall / CRC, 2002.
3. David Sparks,
   Algorithm AS 58: Euclidean Cluster Analysis,
   Applied Statistics,
   Volume 22, Number 1, 1973, pages 126-130.

Source Code:

• cluster_energy.f90, the source code.
• cluster_energy.csh, commands to compile the source code.

Examples and Tests:

• cluster_energy_input.txt, a sample input file.
• cluster_energy_output.txt, the output file.

List of Routines:

• MAIN is the main program for CLUSTER_ENERGY.
• CLUSTER_ITERATION seeks the minimal energy of a cluster of a given size.
• ENERGY computes the energy of a given clustering.
• GET_UNIT returns a free FORTRAN unit number.
• I4_INPUT prints a prompt string and reads an integer from the user.
• I4_RANGE_INPUT reads a pair of integers from the user, representing a range.
• I4_UNIFORM returns a scaled pseudorandom I4.
• INPUT_CHECK performs some simple checks on the problem data.
• INPUT_GET gets the value of certain input quantities from the user.
• INPUT_PRINT prints the value of the input quantities.
• NEAREST_POINT finds the center point nearest a data point.
• POINT_GENERATE generates data points for the problem.
• POINT_PRINT prints out the values of the data points.
• R8VEC_RANGE_INPUT reads two real vectors from the user, representing a range.
• RANDOM_INITIALIZE initializes the FORTRAN 90 random number seed.
• TIMESTAMP prints the current YMDHMS date as a time stamp.

You can go up one level to the FORTRAN90 source codes.