Cluster Validity for the Fuzzy c-Means Clustering Algorithrm

@article{Windham1982ClusterVF,
  title={Cluster Validity for the Fuzzy c-Means Clustering Algorithrm},
  author={Michael P. Windham},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={1982},
  volume={PAMI-4},
  pages={357-363}
}
The uniform data function is a function which assigns to the output of the fuzzy c-means (Fc-M) or fuzzy isodata algorithm a number which measures the quality or validity of the clustering produced by the algorithm. For the preselected number of cluster c, the Fc-M algorithm produces c vectors in the space in which the data lie, called cluster centers, which represent points about which the data are concentrated. It also produces for each data point c-membership values, numbers between zero and… CONTINUE READING
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