Potential-Based Hierarchical Clustering

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Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Year:
2002

Citing 0
Cited 2

Clustering by Sorting Potential Values (CSPV): A novel potential-based clustering method

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PHA: A fast potential-based hierarchical agglomerative clustering method

Pattern Recognition

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Abstract

When performing hierarchical clustering, some metric must be used to determine the similarity between pairs of clusters. Traditional similarity metrics either can only deal with simple shapes or are very sensitive to outliers. We propose two potential-based similarity metrics, APES and AMAPES, inspired by the concept of electric potential in physics. The main features of these metrics are: the first, they have strong anti-jamming capability; the second, they are capable of finding clusters of complex irregular shapes.