Title :
Analysis of Classification by Supervised and Unsupervised Learning
Author :
Sapkal, Shubhangi D. ; Kakarwal, Sangeeta N. ; Revankar, P.S.
Author_Institution :
Govt. Coll. of Eng., Aurangabad
Abstract :
In this paper we have done analysis of supervised and unsupervised learning. We have classified different images by supervised and unsupervised learning methods. 250 object images are used for classification. The techniques used for classification are competitive learning, self-organizing map (SOM) and learning vector quantization (LVQ) networks.
Keywords :
image classification; learning (artificial intelligence); self-organising feature maps; vector quantisation; competitive learning; image classification; learning vector quantization networks; self-organizing map; unsupervised learning; Computational intelligence; Computer vision; Educational institutions; Humans; Labeling; Neural networks; Neurons; Supervised learning; Unsupervised learning; Vector quantization;
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
DOI :
10.1109/ICCIMA.2007.237
