这些模式的分类是通过一种新的两阶段分类完成,其中K近邻算法(KNN)作为第一步骤,并找出最频繁的两个表示的类之间的最接近的K模式,随后通过选择最相关的SVM分类易的两个类。
基于320个网页-相关网页
...k-近邻算法(k-Nearest Neighbor,KNN),即给定一个训练样本集(样本集中每个数据都存在标签),对新的输入实例,将新输入实例的每个特征与样本集中数据对应的特征...
基于26个网页-相关网页
...究与实现 --中国期刊网 ,最大熵算法(Maximum Entropy),神经网络(Neural Nets)和规则学习算法,k近邻算法(k Nearest Neighbor,kNN)等。一些数据表明k近邻算法和支持向量机算法在充足的训练样本的情况下性能较好。
基于18个网页-相关网页
最近邻算法 KNN ; K-Nearest Neighbor ; Nearest Neighbor Heuristics ; k-nearest neighbors method
k-最近邻算法 k-Nearest Neighbor
成对最近邻算法 pairwisenearestneighbor ; PNN
动态联合最近邻算法 DJNN ; Dynamic Joint Nearest Neighbor
该模型应用最近邻算法 K-nearest neighbors ; KNN
和动态联合最近邻算法 Dynamic Joint Nearest Neighbor
k最近邻算法 k-Nearest Neighbor
利用最近邻算法 k-nearest neighbors method ; KNN
进化模糊K近邻算法 Evolutionary Fuzzy K-Nearest Neighbor
This paper proposes time series prediction by Case-based nearest neighbor algorithm and make improvements on considering dynamic length of time series, extracting charac- teristic from time series and selecting nearest case, with which ideal results can be achieved.
本文采用基于实例的近邻算法进行时间序列预测,并在考虑动态长度序列、序列特征提取和近似样例的选取上做出改进,取得很好的效果。
参考来源 - 用近邻算法预测通信量时间序列·2,447,543篇论文数据,部分数据来源于NoteExpress
本文针对计算光学切片中的最近邻算法提出了一种改进算法。
An improved nearest neighbor subtraction algorithm was presented and applied in the Computational Optical Section Microscopy (COSM).
最近邻算法可被扩展成不仅仅限于一个最近匹配,而是可以包括任意数量的最近匹配。
The Nearest Neighbor algorithm can be expanded beyond the closest match to include any number of closest matches.
传统的K-近邻算法选择的相似性度量通常是欧几里德距离的倒数,这种距离通常涉及所有的特征。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.
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