Title :
A comparison of some clustering techniques via color segmentation
Author :
Agarwal, Shilpa ; Madasu, Shweta ; Hanmandlu, Madasu ; Vasikarla, Shantaram
Author_Institution :
Dept. of Electr. Eng., IIT, New Delhi, India
Abstract :
This paper proposes a new improved modified mountain clustering technique. The proposed technique is being compared with some existing techniques such as FCM, Gath-Geva, probabilistic clustering and modified mountain clustering. The performance of all these clustering techniques is compared by applying them to color segmentation in terms of cluster validity and computational complexity.
Keywords :
computational complexity; fuzzy set theory; image colour analysis; image segmentation; pattern clustering; probability; Gath-Geva method; cluster validity; computational complexity; fuzzy c-means technique; image color segmentation; modified mountain clustering technique; probabilistic clustering; Clustering algorithms; Clustering methods; Computational complexity; Data mining; Fuzzy set theory; Image retrieval; Image segmentation; Information retrieval; Pattern classification; Set theory; Color segmentation; EM algorithm and cluster validity; Gath-Geva and Fuzzy C-Means clustering techniques; Modified mountain; Probabilistic;
Conference_Titel :
Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on
Print_ISBN :
0-7695-2315-3
DOI :
10.1109/ITCC.2005.4
