.ENTER COORDINATES FILE CODE: 101
[Enter the code number of the file chosen above.]
.NUMBER OF CLASSES: 50
[Enter number of classes required.]
.FACTOR NUMBERS: 1,3,4,6
[Enter the factors to be included in the K-means clustering
algorithm.]
.FACTOR WEIGHT: 1.5
[Enter weights for each selected factor. If a weight of zero is
given at any point, all the weights from the corresponding factor
onwards are set to one.
.FACTOR WEIGHT: 1.0
.FACTOR WEIGHT: 1.0
.FACTOR WEIGHT: 0
This question is repeated as many times as the number of factors
specified, or is terminated by entering zero.]
.For random seeds give non-zero starting number: 1457
[Initial partition of objects is random.
If the answer is zero, the partition is as follows: 1st object
to first class, 2nd object to second class, ..., k-th object
to k-th class, (k+1)-th object to first class, etc.
For non-zero answer, the number is used to initialize a truly
random assignment of objects.
The purpose is to try different initial partitions for a given
number of classes and choose the one with the best value of one
of the criteria.]
.TEMPLATE FILENAME (ex: SEL***): SEL***
[Enter the name (without a coordinate code or extension) of
the files where all the objects belonging to the same cluster
will be stored.]
.DOCUMENT FILE: MAP001
[Enter the document file name where the cluster membership
for each object will be stored.]
NOTES