Integration of Ant Colony SOM and K-Means for Clustering Analysis

@inproceedings{Chi2006IntegrationOA,
  title={Integration of Ant Colony SOM and K-Means for Clustering Analysis},
  author={Sheng-Chai Chi and Chih Chieh Yang},
  booktitle={KES},
  year={2006}
}
In data analysis techniques, the capability of SOM and K-means for clustering large-scale databases has already been confirmed. The most remarkable advantage of SOM-based two-stage methods is in saving time without the considerable computations required by conventional clustering methods for large and complicated data sets. In this research, we propose and evaluate a two-stage clustering method, which combines an ant-based SOM and K-means. The ant-based SOM clustering model, ABSOM, embeds the… CONTINUE READING
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