k-Nearest
共 12 篇文章
k-Nearest 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 12 篇文章，持续更新中。
K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载
K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载
KNN K-nearest neighbor rule for classification
KNN K-nearest neighbor rule for classification
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。
and a simple clustering algorithm.
K-Nearest neighbour algorithm
K-Nearest neighbour algorithm
Rainbow is a C program that performs document classification usingone of several different methods,
Rainbow is a C program that performs document classification usingone of several different methods, including naive Bayes, TFIDF/Rocchio,K-nearest neighbor, Maximum Entropy, Support Vector Machines, F
It s the kNN or else named k-Nearest Neabours algorythm, realized by the tools of Visual Studio deve
It s the kNN or else named k-Nearest Neabours algorythm, realized by the tools of Visual Studio developer system.
朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法
朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. *
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries.
*
k-nearest neighbors classifier
k-nearest neighbors classifier
KNN算法的实现
KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现
在visual basic环境下
在visual basic环境下，实现k-nearest neighbor算法。
an introduction about k-nearest neighbor method
an introduction about k-nearest neighbor method