SAP HANA Predictive Analysis Library (PAL)

Table 9:
Name Data Type Default Value Description Dependency
THREAD_NUMBER Integer 1 Number of threads.
MAX_ITERATION Integer 500 Maximum number of
iterations.
CON_ITERATION Integer 100 When the clusters
keep a steady one for
the specified times,
the algorithm ends.
DAMP Double 0.9 Controls the updating
velocity.
Value range: 0 <
DAMP < 1
PREFERENCE Double 0.5 Determines the preference.
Value range: 0 ≤ PREF­
ERENCE ≤ 1
SEED_RATIO Double 1 Select a portion of
(SEED_RATIO *
data_number) the input
data as seed,
where data_number is
the row_size of the input
data.
Only valid when the
seed table is empty. If
SEED_RATIO is 1, all
the input data will be
the seed.
Value range: 0 <
SEED_RATIO ≤ 1
TIMES Integer 1 The sampling times. Only valid when the
seed table is empty
and SEED_RATIO is
less than 1.
MINKOW_P Integer 3 The power of the Minkowski
method.
Only valid when DIS­
TANCE_METHOD is 3.
Output Table
Table 10:
Table Column Column Data Type Description
Result 1st column Integer, bigint, varchar, or
nvarchar
ID
2nd column Integer Cluster ID. The range is from
0 to CLUSTER_NUMBER-1.
Example
Assume that:
●
●
DM_PAL is a schema belonging to USER1; and
USER1 has been assigned the AFLPM_CREATOR_ERASER_EXECUTE role; and
22 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions