This content was extracted from Wikipedia and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License
In data mining, cluster-weighted modeling (CWM) is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputs (independent variables) based on density estimation using a set of models (clusters) that are each notionally appropriate in a sub-region of the input space. The overall approach works in jointly input-output space and an initial version was proposed by Neil Gershenfeld.
| Property | Value |
|---|---|
| dbo:abstract |
|
| dbo:wikiPageID |
|
| dbo:wikiPageLength |
|
| dbo:wikiPageRevisionID |
|
| dbo:wikiPageWikiLink |
|
| dbp:wikiPageUsesTemplate | |
| dcterms:subject | |
| gold:hypernym | |
| rdf:type | |
| rdfs:comment |
|
| rdfs:label |
|
| owl:sameAs | |
| prov:wasDerivedFrom | |
| foaf:isPrimaryTopicOf | |
| is dbo:wikiPageWikiLink of | |
| is foaf:primaryTopic of |