||Select the Clustering
||Enter a unique name for your clustering solution. For
example, in this use case you could enter Group
Incidents to a Major Incident.
||As you enter your solution Label value, this field
automatically populates with a system-assigned name that is
similar to your label value.
Select an existing word corpus that is relevant to your
solution. For example, in this use case you select a
word corpus that has a title such as
Incidents in the last 3
If you don’t have a relevant word corpus, follow the
steps in Create a word corpus. When the word corpus
is complete, you can select it from the Word Corpus
field in your ML Solution Definition form.
Note: The number of records per table for word corpus
creation used in clustering solutions is limited to
Select the table that contains record types that you want
to group into one or more clusters. For example, in this
use case you select the Incident
[incident] table as it contains incident
records you want to group together for a major incident
When you assign a table value, a link appears in the form
that shows the number of records that match your current
||Select one or more field types that help the system
identify the records you want to include in your cluster. In
this use case, we use Short
|Use Group By
||Select this check box if you want to group input records
by a field before creating clusters.
Note: Selecting this
check box activates the Group By
choice list below. If you don't select the check box,
all table records are grouped into
Select a value from this list. When you do so, the system
groups records into one or more clusters based on your
selection. For example, in this use case you select
Category. If your
Incident [incident] table has
10 category types, the system groups each type into an
individual cluster, rendering 10 clusters.
||Add filter conditions to the Cluster Input Fields records
you want included in your clusters.
Note: The number of
records for clustering is limited to
Select how often you want the system to group new and
updated records into clusters.
Note: The system pulls
records based on the Group By filter conditions that
you set on your clustering solution, if
For example, if you select Every 15
minutes, the system identifies which
records have arrived within that time frame and tries to
assign them to the existing clusters, or creates a new
cluster if possible. So let's say that 20 new records
arrive. If 16 of the 20 records make it into an existing
cluster and 4 don't, the system forms a new cluster for
the 4 unassigned records.
||Select how often you want the system to discard all
previous cluster results and recreate clusters from the
|Target Solution Coverage
||Use this 0-100 percentile field to filter out records
that are less similar to each other. For example, set the
target coverage value to 75 so your clusters include only up
to the top 75% of similar records. If you're unsure which
value to enter, start with 50. You can always change the
values, retrain your solution, and review the
|Minimum number of records per cluster
||Enter the minimum number of records you want to allow in
any cluster. The value you enter must be greater than or
equal to 2.