搜索资源列表
-
0下载：
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.
-
-
0下载：
k NN algorithm nearest neighbor search
-
-
1下载：
knn最近邻算法在给定新文本后，考虑在训练文本集中与该新文本距离最近（最相似）的 K 篇文本，根据这 K 篇文本所属的类别判定新文本所属的类别，具体的算法步骤如下：
一、:根据特征项集合重新描述训练文本向量
二、:在新文本到达后，根据特征词分词新文本，确定新文本的向量表示
三、:在训练文本集中选出与新文本最相似的 K 个文本-knn nearest neighbor algorithm in the given text, to consider in the train
-
-
0下载：
Knn算法综述、柔性KNN算法研究、一个高效的knn分类算法法、一种改进的KNN分类算法、一种优化的K最近邻协同过滤算法。
-The Knn algorithm summarized flexible KNN algorithm, an efficient knn classification algorithm method, an improved KNN classification algorithm, an optimized K nearest neighbor collabor
-
-
0下载：
基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source
-
-
0下载：
本程序主要是实现knn算法，KNN(k Nearest Neighbors)算法又叫k最临近方法，在分类和模式识别方面都有重要的应用。-The program mainly knn algorithm ，KNN (k Nearest Neighbors) algorithm also known as k nearest neighbor method has important applications in classification and pattern recognition.
-
-
0下载：
k-nearest neighbor algorithm
-
-
0下载：
对大量文件中相关内容的搜索，k近邻查询算法及一些改进-A large number of files in the search k nearest neighbor query algorithm and some improvements
-
-
0下载：
Basic implementation of k nearest neighbor algorithm. I have implemented it for a Machine Learning lecture homework.
-
-
0下载：
最近邻算法实现
k近邻
Z为训练集，每行一个样本，n*m
labZ为与Z对应的类别，列向量
Z_T为测试集，每行一个样本，p*m
labZ_T为输出结果,p*1-Nearest-neighbor algorithm
-
-
0下载：
k nearest neighbor algorithm for matlab
-
-
0下载：
是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-k-Nearest Neighbor algorithm， It is a very useful matlab code.
-
-
0下载：
Implement the K nearest neighbor algorithm by your own instead of using available software.
2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result.
3. T
-
-
0下载：
KNN-是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method for classification and regression, that predicts objects "values"
-
-
0下载：
本程序实现了最近邻分类器的K近邻算法。实现方式是使用matlab-This program implements a nearest neighbor classifier K-nearest neighbor algorithm. Implementation using matlab
-
-
0下载：
型的类比学习方法是K-最近邻方法,它属于懒散学习法,相比决策树等急切学习法,具有训练时间短,但分类时间长的特点。K-最近邻算法可以用于分类和聚类中(The analogy learning method is K- nearest neighbor method. It belongs to the lazy learning method. Compared with the decision tree learning method, it has the characteristics o
-
-
0下载：
k 近邻算法采用测量不同特征值之间的距离的方法进行分类(K nearest neighbor algorithm uses the method of measuring the distance between different eigenvalues to classify)
-
-
0下载：
K nearest neighbor algorithm for indoor localization
-
-
0下载：
k-nn算法 K-NN算法 ( K Nearest Neighbor, K近邻算法 ), 是机器学习中的一个经典算法, 比较简单且容易理解. K-NN算法通过计算新数据与训练数据特征值之间的距离, 然后选取 K (K>=1) 个距离最近的邻居进行分类或者回归. 如果K = 1 , 那么新数据将被分配给其近邻的类.(k-nnK - NN algorithm (K on his Neighbor, K Nearest Neighbor algorithm), is a classical al
-
-
0下载：
调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)
-
