SAP HANA Predictive Analysis Library (PAL)

INSERT INTO PAL_KMEANS_DATA_TBL VALUES (13, 15.5, 'C', 16.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (14, 15.6, 'D', 16.2);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (15, 15.5, 'D', 0.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (16, 16.5, 'D', 0.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (17, 16.5, 'D', 1.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (18, 15.5, 'D', 1.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (19, 15.7, 'A', 1.6);
DROP TABLE PAL_KMEANS_ASSIGNED_TBL;
CREATE COLUMN TABLE PAL_KMEANS_ASSIGNED_TBL LIKE PAL_KMEANS_ASSIGNED_T;
DROP TABLE PAL_KMEANS_CENTERS_TBL;
CREATE COLUMN TABLE PAL_KMEANS_CENTERS_TBL LIKE PAL_KMEANS_CENTERS_T;
DROP TABLE PAL_KMEANS_SIL_CENTERS_TBL;
CREATE COLUMN TABLE PAL_KMEANS_SIL_CENTERS_TBL LIKE PAL_KMEANS_SIL_CENTERS_T;
DROP TABLE PAL_KMEANS_STATISTIC_TBL;
CREATE COLUMN TABLE PAL_KMEANS_STATISTIC_TBL LIKE PAL_KMEANS_STATISTIC_T;
DROP TABLE PAL_KMEANS_MODEL_TBL;
CREATE COLUMN TABLE PAL_KMEANS_MODEL_TBL LIKE PAL_KMEANS_MODEL_T;
CALL "DM_PAL".PAL_KMEANS_PROC(PAL_KMEANS_DATA_TBL, #PAL_CONTROL_TBL,
PAL_KMEANS_ASSIGNED_TBL, PAL_KMEANS_CENTERS_TBL, PAL_KMEANS_SIL_CENTERS_TBL,
PAL_KMEANS_STATISTIC_TBL, PAL_KMEANS_MODEL_TBL) with OVERVIEW;
-------- NEXT CLUSTER ASSIGNMENT ----------
DROP TYPE PAL_CLUSTER_ASSIGNED_T;
CREATE TYPE PAL_CLUSTER_ASSIGNED_T AS TABLE(
"ID" INTEGER,
"CLUSTER" INTEGER,
"DISTANCE" DOUBLE
);
DROP TABLE PAL_CLUSTERASSIGNMENT_PDATA_TBL;
CREATE COLUMN TABLE PAL_CLUSTERASSIGNMENT_PDATA_TBL("POSITION" INT,
"SCHEMA_NAME" NVARCHAR(256), "TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE"
VARCHAR(7));
INSERT INTO PAL_CLUSTERASSIGNMENT_PDATA_TBL VALUES (1, 'DM_PAL',
'PAL_KMEANS_DATA_T', 'IN');
INSERT INTO PAL_CLUSTERASSIGNMENT_PDATA_TBL VALUES (2, 'DM_PAL',
'PAL_KMEANS_MODEL_T', 'IN');
INSERT INTO PAL_CLUSTERASSIGNMENT_PDATA_TBL VALUES (3, 'DM_PAL',
'PAL_CONTROL_T', 'IN');
INSERT INTO PAL_CLUSTERASSIGNMENT_PDATA_TBL VALUES (4, 'DM_PAL',
'PAL_CLUSTER_ASSIGNED_T', 'OUT');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_DROP('DM_PAL',
'PAL_CLUSTERASSIGNMENT_PROC');
CALL "SYS".AFLLANG_WRAPPER_PROCEDURE_CREATE('AFLPAL', 'CLUSTERASSIGNMENT',
'DM_PAL', 'PAL_CLUSTERASSIGNMENT_PROC', PAL_CLUSTERASSIGNMENT_PDATA_TBL);
DROP TABLE PAL_KMEANS_DATA_TBL;
CREATE COLUMN TABLE PAL_KMEANS_DATA_TBL LIKE PAL_KMEANS_DATA_T;
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (0, 0.5, 'A', 0.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (1, 1.5, 'A', 7.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (2, 1.5, 'B', 15.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (3, 10.5, 'F', 1.5);
INSERT INTO PAL_KMEANS_DATA_TBL VALUES (4, 2.1, 'B', 1.2);
DROP TABLE PAL_CLUSTER_ASSIGNED_TBL;
CREATE COLUMN TABLE PAL_CLUSTER_ASSIGNED_TBL LIKE PAL_CLUSTER_ASSIGNED_T;
CALL "DM_PAL".PAL_CLUSTERASSIGNMENT_PROC(PAL_KMEANS_DATA_TBL,
PAL_KMEANS_MODEL_TBL, #PAL_CONTROL_TBL, PAL_CLUSTER_ASSIGNED_TBL) with OVERVIEW;
SELECT * FROM PAL_CLUSTER_ASSIGNED_TBL;
Expected Result
42 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions