The low frequency sub - image is transformed by dct , and only a small set of coefficients is retained as the feature . a euclidean distance nearest - neighbor classifier is designed to recognize the face 小波变换后再进行dct变换,将dct系数的一个小子集作为特征向量,并采用基于简单欧式距离度量的最近邻分类器进行识别。
According to the study on case category , by applying the cooperation of the inductive indexing method and the near - neighbor method , the system entrance and the case shape retrieval of cbid system was realized 根据系统案例类别研究的结果,本研究主要运用归纳索引法和最临近法相结合的检索方法,实现了cbid系统的入口和案例造型检索环节。
A method based on fuzzy equivalence relation is applied to implement target classification and a synthetic algorithm is presented to fulfill multi - layer structure among groups by using the nearest - neighbor method and field knowledge 应用基于模糊等价关系的方法实现目标编群,并提出一种基于域知识和最近邻法相结合的算法来实现群结构递增形成的策略。
The low frequency sub - images are obtained by utilizing two - dimensional wavelet transform for several times . the features are extracted by applying lda to the sub - images . the nearest - neighbor classifier is designed to recognize the face 首先对原图像进行若干层二维小波变换,得到低频子图像,然后利用lda进行特征提取,最后利用最近邻分类器进行分类识别。
This study employed six data mining methods , including logistic regression , discriminant analysis , artificial neural networks , k - nearest - neighbors , na ? ve bayes classifier , and classification trees , to find the most important factors of earthquake - caused landslide 本研究利用六种资料探勘方法,包括逻辑回归、判别分析、类神经网络、最近邻法、贝氏分类器、分类树,探讨影响地震引起山崩的重要因子。