Fuzzy clustering with Minkowski distance functions

@inproceedings{Groenen2006FuzzyCW,
  title={Fuzzy clustering with Minkowski distance functions},
  author={Patrick J. F. Groenen and Uzay Kaymak},
  year={2006}
}
Distances in the well known fuzzy c-means algorithm of Bezdek (1973) are measured by the squared Euclidean distance. Other distances have been used as well in fuzzy clustering. For example, Jajuga (1991) proposed to use the L1-distance and Bobrowski and Bezdek (1991) also used the L∞-distance. For the more general case of Minkowski distance and the case of using a root of the squared Minkowski distance, Groenen and Jajuga (2001) introduced a majorization algorithm to minimize the error. One of… CONTINUE READING