Abstract
A modified version of Fuzzy c-Means, called Fuzzy c-Means with Additional Data, is presented. Usefulness of the algorithm is confirmed through a numerical simulation experiment and area division of imagery data. Results of various fuzzy clustering algorithms applied to imagery data are also investigated from a viewpoint of subjective entropy of probabilistic sets.
| Original language | English |
|---|---|
| Pages (from-to) | 95-104 |
| Number of pages | 10 |
| Journal | Hosei Daigaku Kogakubu kenkyu shuho |
| Issue number | 23 |
| Publication status | Published - Mar 1987 |