Uniformity and homogeneity-based hierarchical clustering

@inproceedings{Bajcsy1996UniformityAH,
  title={Uniformity and homogeneity-based hierarchical clustering},
  author={Peter Bajcsy and Narendra Ahuja},
  booktitle={ICPR},
  year={1996}
}
This paper presents a clustering algorithm for dot patterns in n-dimensional space. The n-dimensional space often represents a multivariate (nf -dimensional) function in a ns-dimensional space (ns + nf = n). The proposed algorithm decomposes the clustering problem into the two lower dimensional problems. Clustering in nf -dimensional space is performed to detect the sets of dots in n-dimensional space having similar nf -variate function values (location based clustering using a homogeneity… CONTINUE READING

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