Coffee

This dataset is part of the UCR Archive maintained by University of Southampton researchers. Please cite a relevant or the latest full archive release if you use the datasets. See http://www.timeseriesclassification.com/. Food spectrographs are used in chemometrics to classify food types, a task that has obvious applications in food safety and quality assurance. The coffee data set is a two class problem to distinguish between Robusta and Aribica coffee beans. Further information can be found in the original paper [1]. The data was first used in the time series classification literature in [2]. [1] Briandet et al. Discrimination of Arabica and Robusta in Instant Coffee by Fourier Transform Infrared Spectroscopy and Chemometrics J. Agricultural and Food Chemistry, 44 (1), 1996. [2] Bagnall et al. Transformation Based Ensembles for Time Series Classification, SDM 2012. Donator: K. Kemsley, A. Bagnall本数据集隶属于南安普敦大学研究者维护的UCR档案库（UCR Archive）。若使用该数据集，请引用相关或最新的完整档案库版本，详情请访问http://www.timeseriesclassification.com/。 食品光谱仪在化学计量学（chemometrics）中用于食品类别分类，该任务在食品安全与质量保障领域具有显著的应用价值。本咖啡数据集为二分类任务，用于区分罗布斯塔（Robusta）咖啡豆与阿拉比卡（Arabica）咖啡豆。更多详细信息可参阅原始文献[1]，该数据集首次被应用于时间序列分类（time series classification）研究的文献见于[2]。 [1] Briandet等. 基于傅里叶变换红外光谱法与化学计量学鉴别速溶咖啡中的阿拉比卡与罗布斯塔品种[J]. 农业与食品化学杂志, 44(1), 1996. [2] Bagnall等. 面向时间序列分类的基于变换的集成学习方法[C]. SDM 2012. 捐赠者：K. Kemsley、A. Bagnall