文献类型：期刊文献

英文题名：FUNCTIONAL CLUSTER ANALYSIS OF RAW PORK TRACEABILITY TIME-SERIES DATA

作者：Liu, Zhongli[1];Zhao, Peng[2];Sun, Guoqing[3]

第一作者：刘忠礼

通讯作者：Liu, ZL[1]

机构：[1]Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China;[2]Lang Fang Yanjing Career Tech Coll, Langfang 065000, Hebei, Peoples R China;[3]Tianjin Univ, Renai Coll, Tianjin 301636, Peoples R China

第一机构：北京联合大学生物化学工程学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China.|[1141726]北京联合大学生物化学工程学院;[11417]北京联合大学;

年份：2014

卷号：6

期号：1

起止页码：101-108

外文期刊名：CARPATHIAN JOURNAL OF FOOD SCIENCE AND TECHNOLOGY

收录：EI(收录号：20142917946351);Scopus(收录号：2-s2.0-84903989602);WOS:【ESCI(收录号:WOS:000215162300016)】；

语种：英文

外文关键词：raw pork traceability; time-series data; cluster analysis

摘要：This paper discussed cluster problem of time-series data applying functional cluster analysis of raw pork traceability time-series data under general framework. We resolve problems and put forward research approach. We can also regard time-series data as function object rather than simple arrangement of individual observations which transform discrete data into functional data; replacing distance between primitive function distances of primary functional expansion coefficient vector can simplify arithmetic operation. Discrete cluster data is divided into continuous classification information by making functional cluster analysis on traceability time-series data, which can improve availability of traceability time-series data and then inspire decision maker to make a correct choice.