文献类型：期刊文献

英文题名：Computer Desktop Image Compression Based on Clustering Algorithm

作者：Wang, Qi[1]

第一作者：王琦

通讯作者：Wang, Q[1]|[11417a053e4fb3e03b8b6]王琦;

机构：[1]Beijing Union Univ, Normal Coll, Beijing, Peoples R China

第一机构：北京联合大学师范学院

通讯机构：[1]Beijing Union Univ, Normal Coll, Beijing, Peoples R China.|[1141711]北京联合大学师范学院;[11417]北京联合大学;

年份：2018

卷号：21

期号：2

外文期刊名：JOURNAL OF ADVANCED OXIDATION TECHNOLOGIES

收录：;Scopus(收录号：2-s2.0-85051347621);WOS:【SCI-EXPANDED(收录号:WOS:000433154905133)】；

语种：英文

外文关键词：Clustering Algorithm; Computer Desktop; Image Compression Algorithm; Data Mining

摘要：Image compression has been a high priority for many years, and various types of compression algorithms have been proposed. With the rapid development of network communication technology and personal computer, real-time computer desktop image transmission technology is becoming more and more widely used. Clustering is mainly applied to speech recognition and character recognition in pattern recognition. The clustering algorithm in machine learning is applied to image segmentation and image processing. It is mainly used for data compression and information retrieval. Another major application of clustering is data mining which also includes space-time database applications, sequence and exception data analysis. The clustering analysis is widely used in image compression. Based on the related concepts of computer desktop image compression algorithm, this paper analyses and explains the coding method of computer desktop image clustering algorithm, and we will analyse the computer desktop image compression algorithm of clustering algorithm in detail.