LEAD_CLUS_LNK(1)

NAME
lead_clus_lnk - Leader Clusterer

SYNOPSIS
Program for finding cluster centers for the input data which are at most a constant minimum distance apart.

lead_clus_lnk [ -cluster_by_class ] [ -delta x ]
[ -delta_list x[,x]... ] [ -classifier_options ]

EXAMPLE
lead_clus_lnk -train -create -delta 0.5 \
-pathdata $LNKHOME/data/class -finput vowel.train \
-fdescribe vowel.defaults -npatterns 338

DESCRIPTION
Leader clustering is a simple, fast sequential clustering algorithm. Training patterns are presented one at a time. The first pattern is the first cluster center. Any other pattern that is farther away than delta from an existing cluster is stored as a new cluster center. Large values of delta result in few clusters while small values result in many clusters. When clustering by class a different delta may be set for each class. When these clusters are used by a classification algorithm, delta is used as the cluster variance in all directions.

OPTIONS
-- Prints a list of all flags and arguments.

-cluster_by_class
    Select centers independently for each class using the deltas from delta_list.

-delta x
    x is the radius of all the hyperspheres returned by lead_clus_lnk.

-delta_list x[,x]...
    A list of the radii of hyperspheres selected for each of the noutputs classes. This list is only used if cluster_by_class is selected.
    Example: -delta_list 0.3,6.0,0.25,1e-1,0.5

-classifier_options
    lead_clus_lnk accepts the general classifier arguments described on the classifier(1) manual page. Certain arguments are not used by the program, and so are not available.

    Unavailable arguments from general list:

    -adjust_test_priors -test_priors_list -test_uniform_priors
        There is no testing mode.

    -log_outputs, -verror, -ferror
        No error file is created

REFERENCE
J. A. Hartigan, Clustering Algorithms, John Wiley & Sons, New York, 1975.

SEE ALSO
classifier(1), lead_clus_plot_bound(1)

HISTORY
First written 27 May 1992 by Linda Kukolich

BUGS
Send bug reports to Linda Kukolich (kukolich@sst.ll.mit.edu)