具有多聚类的聚类加权建模

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222) Pub Date : 2001-07-15 DOI:10.1109/IJCNN.2001.938419

L. Feldkamp, D. Prokhorov, T. Feldkamp

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引用次数: 6

摘要

Gershenfeld(1999)提出了聚类加权模型(CWM)用于联合输入输出空间的密度估计。在基本CWM算法中，每个输入集群对应一个输出集群。我们将基本CWM扩展为这样的结构，其中多个输出集群与相同的输入集群相关联。我们将此称为具有多集群的CWM，并通过一个示例来说明它。

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Cluster-weighted modeling with multiclusters

Cluster-weighted modeling (CWM) was proposed by Gershenfeld (1999) for density estimation in joint input-output space. In the base CWM algorithm there is a single output cluster for each input cluster. We extend the base CWM to the structure in which multiple output clusters are associated with the same input cluster. We call this CWM with multiclusters and illustrate it with an example.

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IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)

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