Displayed Output
If you specify the SIMPLE option
and the data are coordinates,
PROC MODECLUS displays the following simple descriptive
statistics for each variable:
If you specify the NEIGHBOR option,
PROC MODECLUS displays a list of
the neighbors of each observation.
The table contains
- the observation number or ID value of the observation
- the observation number or ID value of each of its neighbors
- the distance to each neighbor
If you specify the CROSSLIST option, PROC MODECLUS produces a table
of information regarding cross validation of the density estimates.
Each table has a row for each observation.
For each observation, the following are displayed:
- the observation number or ID value of the observation
- the radius of the neighborhood
- the number of neighbors
- the estimated log density
- the estimated cross-validated log density
If you specify the LOCAL option, PROC MODECLUS produces a table
of information regarding estimates of local dimensionality.
Each table has a row for each observation.
For each observation, the following are displayed:
- the observation number or ID value of the observation
- the radius of the neighborhood
- the estimated local dimensionality
If you specify the LIST option, PROC MODECLUS
produces a table listing
the observations within each cluster. The table can include
- the cluster number
- the observation number or ID value of the observation
- the estimated density
- the sum of the density estimates of observations within
the neighborhood that belong to the same cluster
- the sum of the density estimates of observations within
the neighborhood that belong to a different cluster
- the sum of the density estimates of all the observations within
the neighborhood
- the ratio of the sum of the density estimates for the same
cluster to the sum of all the density estimates in the neighborhood
If you specify the LIST option and there are unassigned objects,
PROC MODECLUS produces a table listing those observations.
The table includes
- the observation number or ID value of the observation
- the estimated density
- the ratio of the sum of the density estimates for the same
cluster to the sum of the density estimates in the neighborhood
for all other clusters
If you specify the BOUNDARY option,
PROC MODECLUS produces a table
listing the observations in each cluster that have a neighbor
belonging to a different cluster. The table includes
- the observation number or ID value of the observation
- the estimated density
- the cluster number
- the ratio of the sum of the density estimates for the same
cluster to the sum of the density estimates in the neighborhood
for all other clusters
If you do not specify the SHORT option, PROC MODECLUS produces
a table of cluster statistics including
- the cluster number
- the cluster frequency (the number of observations in the cluster)
- the maximum estimated density within the cluster
- the number of observations in the cluster having a neighbor
that belongs to a different cluster
- the estimated saddle density of the cluster
If you specify the TEST or JOIN option, the table of
cluster statistics includes the following items pertaining
to the saddle test:
- the number of observations within the fixed-radius
density-estimation neighborhood of the modal observation
- the number of observations within the fixed-radius
density-estimation neighborhood of the saddle observation
- the number of observations within the overlap of the two
preceding neighborhoods
- the z statistic for comparing the preceding counts
- the approximate p-value
If you do not specify the NOSUMMARY option,
PROC MODECLUS produces
a table summarizing each cluster solution containing the
following items:
- the smoothing parameters and cascade value
- the number of clusters
- the frequency of unclassified objects
- the likelihood cross-validation criterion
if you specify the CROSS or CROSSLIST option
If you specify the JOIN option, the summary table
also includes
- the number of clusters joined
- the maximum p-value of any cluster in the solution
If you specify the TRACE option, PROC MODECLUS produces a table
for each cluster solution that
lists each observation along with its
cluster membership as it is reassigned
from the "Old" cluster to the "New" cluster.
This reassignment is described in
Step 1 through Step 3
of the section "METHOD=6".
Each table has a row for each observation.
For each observation, the following are displayed:
- the observation number or ID value of the observation
- the estimated density
- the "Old" cluster membership. 0 represents
an unassigned observation and
-1 represents a seed.
- the "New" cluster membership
- "Ratio," which is documented
in the section "METHOD=6".
The following character values can also be
displayed:
- "M"
- means the observation is a mode
- "S"
- means the observation is a seed
- "N"
- means the neighbor of a mode or seed,
for which the ratio is not computed
Copyright © 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.