Odor Recognition Dengan Menggunakan Principal Component Analysis Dan Nearest Neighbour Classifier

摘要

This paper describes about implementation of principal component analysis method on odor recognition system. There are 15 essences used in this research and each essence has 20 concentrations.Principal Component Analysis (PCA) method was used in this system to reduce the data\u27s dimension. The result of PCA would be input of recognition system. The recognition system used in this research is nearest neighbour method.Experiments were done for testing the designed system. Although the data were reduced until 93,75%, the system could recognize the essences well and achieve a recognition rate of 99.56%.