Title :
An interval type-2 fuzzy pcm algorithm for pattern recognition
Author :
Min, Ji-Hee ; Shim, Eun-A ; Rhee, Frank Chung-Hoon
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Hanyang Univ., Ansan, South Korea
Abstract :
The possibilistic C-means (PCM) was proposed to overcome some of the drawbacks associated with the fuzzy C-means (FCM) such as improved performance for noise data. However, PCM possesses some drawbacks such as sensitivity in the initial parameter values and to patterns that have relatively short distances between the prototypes. To overcome theses drawbacks, we propose an interval type-2 fuzzy approach to PCM by considering uncertainty in the fuzzy parameter m in the PCM algorithm.
Keywords :
fuzzy set theory; pattern clustering; pattern recognition; fuzzy C-means; interval type-2 fuzzy PCM algorithm; pattern recognition; Clustering algorithms; Computational complexity; Computer science; Fuzzy sets; Pattern recognition; Phase change materials; Prototypes; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277167
