A Novel Similarity-Based Fuzzy Clustering Algorithm by Integrating PCM and Mountain Method

@article{Tseng2007ANS,
  title={A Novel Similarity-Based Fuzzy Clustering Algorithm by Integrating PCM and Mountain Method},
  author={Vincent S. Tseng and Ching-Pin Kao},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2007},
  volume={15},
  pages={1188-1196}
}
The fuzzy c-means (FCM) and possibilistic c-means (PCM) algorithms have been utilized in a wide variety of fields and applications. Although many methods are derived from the FCM and PCM for clustering various types of spatial data, relational clustering has received much less attention. Most fuzzy clustering methods can only process the spatial data (e.g., in Euclidean space) instead of the nonspatial data (e.g., where the Pearson's correlation coefficient is used as similarity measure). In… CONTINUE READING
Highly Cited
This paper has 39 citations. REVIEW CITATIONS