SAP HANA Predictive Analysis Library (PAL)

Name Data Type Default Value Description Dependency
NORMALIZATION Integer 0 Normalization type:
●
●
●
0: No
1: Yes. For each
point X
(x1,x2,...,xn), the
normalized value
will be X'(x1/
S,x2/S,...,xn/S),
where S = |x1|+|
x2|+...|xn|.
2: For each column
C, get the
min and max
value of C, and
then C[i] = (C[i]-
min)/(max-min).
THREAD_NUMBER Integer 1 Number of threads.
CATEGORY_COL Integer No default value Indicates whether the
column is category
variable. By default,
'string' is category variable,
and 'integer' or
'double' is continuous
variable.
CATEGORY_WEIGHTS Double 0.707 Represents the weight
of category attributes
(γ).
EXIT_THRESHOLD Double 0.000000001 Threshold (actual
value) for exiting the
iterations.
Output Tables
Table 55:
Table Column Column Data Type Description
Result 1st column Integer, bigint, varchar, or
nvarchar
ID
2nd column Integer Clustered item assigned to
class number
3rd column Double The distance between the
cluster and each point in the
cluster.
Center Points 1st column Integer Cluster center ID
Other columns Double, varchar, or nvarchar Outputs means if the column
is continuous variable; outputs
modes if the column is
category variable.
80 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
PAL Functions