Multi-modal Data Fusion: A Description

Clustering groups records that are similar to each other into the same group, and those that are less similar into different groups. Clustering data of mixed types is difficult due to different data characteristics. Extending Gower’s metric for nominal and ordinal data is incorporated into an agglomerative hierarchical clustering algorithm to cluster mixed type data. This paper describes the extensions and algorithm.

• Type: Conference
• Year: 2004
• Where: KES
• Authors: Sarah Coppock, Lawrence J. Mazlack
• Keywords: Different Data Characteristics, Hierarchical Clustering Algorithm, KES 2004, Mixed Type