linear classification meaning in English
线性分类
Examples
- Non - linear classification in many research fields is very difficult . so not only good classified decision but also good method of feature extraction need to be studied
非线性问题是很多学科研究当中经常遇到的困难,不仅要研究较好分类决策,而且要研究较好的特征提取方法。 - The quantity of convex hull is as less as possible . this algorithm can be applied to non - linear classification , neural classification algorithm ( including bp and rbf ) and 2d image filling for sample points
该算法的实现,可以应用于非线性分类,神经网络分类学习(包括bp , rbf ) ,以及二维图像散乱点的填充。 - Then we go to details of the ideas of compression algorithms based on ifs theory , such as range block search , fixed threshold , adaptive threshold , linear classification , and so on
这些算法包括：全局分块搜索算法、固定门限法、自适应门限法、线性分类法、四分之一块灰度排列法和基于块合并的压缩算法。 - Relying on the theorem of graham , the sample points are realized the minimal convex hull which computational complexity is o ( nlogn ) . last a new feature extraction - convex - body segmentation and approximation of scattered sample for non - linear classification based on the knowledge of computing geometry and discrete mathematics is presented . new algorithm guarantees that every convex hull is unintersectant . both convex hull between the same classes and convex hull between the different classes are unintersectant
在此基础上,借助计算几何和离散数学等相关知识,为非线性分类问题中的特征提取提出新的思路-散乱样本凸体分割与逼近算法,算法保证了两类样本形成的凸包两两互不相交,即同类样本之间、同类和异类之间形成的凸包互不相交,并且凸包数量逼近最少,为非线性分类提供了新的研究思路。 - Secondly , a measure of a gene set is proposed for evaluating the expression level difference of the genes in the set , which is a combination of the fisher linear classification and the t - statistic method and give a relevance value to every gene in the set as well as to the whole gene set
第二,提出了一个度量基因集合表达差异性的测度fldt ,该测度将fisher线性分类与t - statistic相结合,不但能够给出基因集合整体进行评价,而且同时能够对集合中每个基因的进行评价。