Perfume Data
Donated on 7/21/2014
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.
Dataset Characteristics
Univariate, Domain-Theory
Subject Area
Computer Science
Associated Tasks
Classification, Clustering
Feature Type
Integer
# Instances
560
# Features
-
Dataset Information
Additional Information
The data set gathered when we were working at project for Bahrain university between 2002 and 2003.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no |
0 to 2 of 2
Additional Variable 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)
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset perfume_data = fetch_ucirepo(id=303) # data (as pandas dataframes) X = perfume_data.data.features y = perfume_data.data.targets # metadata print(perfume_data.metadata) # variable information print(perfume_data.variables)
Karlik,Bekir and Al-Bastaki,Yousif. (2014). Perfume Data. UCI Machine Learning Repository. https://doi.org/10.24432/C5MP4W.
@misc{misc_perfume_data_303,
author = {Karlik,Bekir and Al-Bastaki,Yousif},
title = {{Perfume Data}},
year = {2014},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5MP4W}
}Creators
Bekir Karlik
Yousif Al-Bastaki
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.