KMEAN_CLUSTERING

The KMEAN_CLUSTERING clustering type has the attributes listed in Table 2-44.

Table 44 KMEAN_CLUSTERING Attributes

Attribute Name	Data Type	Default	Min Value	Max Value	Description
MAX_DOCTERMS	I	50	10	8192	Specify the maximum number of distinct terms representing one document.
MAX_FEATURES	I	3,000	1	500,000	Specify the maximum number of distinct features.
THEME_ON	B	FALSE	NULL	NULL	Specify TRUE to use themes as features.
TOKEN_ON	B	TRUE	NULL	NULL	Specify TRUE to use regular tokens as features.
STEM_ON	B	FALSE	NULL	NULL	Specify TRUE to use stemmed tokens as features. This only works when turning INDEX_STEM on for the lexer.
MEMORY_SIZE	I	500	10	4000	Specify approximate memory size in MB.
SECTION_WEIGHT	1	2	0	100	Specify the occurrence multiplier for adding a term in a field section as a normal term. For example, by default, the term cat in “cat” is a field section term and is treated as a normal term with occurrence equal to 2, but you can specify that it be treated as a normal term with a weight up to 100. SECTION_WEIGHT is only meaningful when the index policy specifies a field section.
CLUSTER_NUM	I	200	2	20000	Specify the total number of leaf clusters to be generated.