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Perfume Data Data Set
Download: Data Folder, Data Set Description

Abstract: This data consists of odors of 20 different perfumes. Data was obtained by using a handheld odor meter (OMX-GR sensor) per second for 28 seconds period.

Data Set Characteristics:  

Univariate, Domain-Theory

Number of Instances:

560

Area:

Computer

Attribute Characteristics:

Integer

Number of Attributes:

2

Date Donated

2014-07-22

Associated Tasks:

Classification, Clustering

Missing Values?

N/A

Number of Web Hits:

158885


Source:

Prof. Dr. Bekir KARLIK, bkarlik '@' selcuk.edu.tr, Department of Computer Engineering, Selcuk University, Konya-Turkey
Assoc. Prof. Dr. Yousif Al-Bastaki, Department of Computer Science, Bahrain University, Kingdom of Bahrain


Data Set Information:

The data set gathered when we were working at project for Bahrain university between 2002 and 2003.


Attribute Information:

The data was obtained from 20 different perfumes by using a handheld odor meter(OMX-GR sensor). Names of these perfumes are: ajayeb, ajmal, amreaj, aood, asgar_ali, bukhoor, burberry, dehenalaod, junaid, kausar, rose, solidmusk, TeaTreeOil, raspberry, RoseMusk, strawberry, constrected2, carolina_herrera, oudh_ma'alattar, constrected1. Each column represent a measurement and there were 28 takes (one each second)


Relevant Papers:

1- KARLIK Bekir, BASTAKI Yousif, “Real Time Monitoring Odor Sensing System Using OMX-GR Sensor and Neural Network”, WSEAS Transactions on Electronics, issue 2, vol.1, pp.337-342, April, 2004
2- TEMEL Turgay and KARLIK Bekir, “An Improved Odor Recognition System Using Learning Vector Quantization with a New Discriminant Analysis”, Neural Network World, vol. 17(4), pp. 287-294, 2007
3- KARLIK Bekir and YUKSEK Kemal “Fuzzy Clustering Neural Networks for Real Time Odor Recognition System”, Journal of Automated Methods and Management in Chemistry, Dec. 2007 Article ID 38405, [Web Link]
4- AL-BASTAKI, Yousif, 'An Artificial Neural Networks-Based on-Line Monitoring Odor Sensing System', Journal of Computer Science , vol. 5, no. 11, pp. 878-882, 2009.



Citation Request:

1- KARLIK Bekir, BASTAKI Yousif, “Real Time Monitoring Odor Sensing System Using OMX-GR Sensor and Neural Network”, WSEAS Transactions on Electronics, issue 2, vol.1, pp.337-342, April, 2004
2- TEMEL Turgay and KARLIK Bekir, “An Improved Odor Recognition System Using Learning Vector Quantization with a New Discriminant Analysis”, Neural Network World, vol. 17(4), pp. 287-294, 2007
3- KARLIK Bekir and YUKSEK Kemal “Fuzzy Clustering Neural Networks for Real Time Odor Recognition System”, Journal of Automated Methods and Management in Chemistry, Dec. 2007 Article ID 38405, [Web Link].


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