co-occurrence analysis

基本解释

Co-occurrence analysis is a quantitative analysis method of co-occurrence in various information media, and is an important tool to support knowledge services and knowledge mining.
共现分析是将各种信息载体中的共现信息定量化的分析方法，是支撑知识挖掘和知识服务的重要手段和工具。
Similarly, the work of texture feature extraction is obtained by using co-occurrence matrix or frequency analysis based on wavelet transform depending on different characteristics of images.
在纹理特征提取方面，针对不同纹理特点分别采用了基于共生矩阵的统计纹理分析和基于小波变换的频谱纹理分析两种方法予以实现。
Base on generalization and analysis of co-occurrence matrix algorithms, a method is proposed that could make fast acquisition of target image texture features and thus implement image retrieval.
在总结和分析共生矩阵算法的基础上，提出了一个快速获取目标图像纹理特征，进而实现图像检索的方法。

共现分析
On the basis of all above, this paper studies the three type method of knowledge connection promulgate: Based on Citation analysis; Based on Co-occurrence analysis; Based on topic analysis.
其次，在此基础上，分别重点研究了三种知识关联的方法：基于引文分析的知识关联揭示、基于共现分析的知识关联揭示、基于主题分析的知识关联揭示。