SAP HANA Predictive Analysis Library (PAL)

3.1 Clustering Algorithms
This section describes the clustering algorithms that are provided by the Predictive Analysis Library.
3.1.1 Affinity Propagation
Affinity Propagation (AP) is a relatively new clustering algorithm that has been introduced by Brendan J. Frey
and Delbert Dueck. The authors described affinity propagation as follows:
“An algorithm that identifies exemplars among data points and forms clusters of data points around these
exemplars. It operates by simultaneously considering all data point as potential exemplars and exchanging
messages between data points until a good set of exemplars and clusters emerges.”
One of the most significant advantages of AP-cluster is that the number of clusters is not necessarily
predetermined.
Prerequisites
●
●
No missing or null data in the inputs.
The data is numeric, not categorical.
AP
Procedure Generation
CALL SYS.AFLLANG_WRAPPER_PROCEDURE_CREATE (‘AFLPAL’, ‘AP’, ‘’,
'', );
The signature table should contain the following records:
Table 6:
Position Schema Name Table Type Name Parameter Type
1 IN
2
IN
3 IN
4 OUT
Procedure Calling
CALL .(, ,
, ) with overview;
20 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions