搜索资源列表
knn
- 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用它最接近的k个邻居来代表。(Neighborhood algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in data mining class
KNN
- k临近算法，用于数据分类，此代码为机器学习实战的学习代码(K near algorithm, for data classification, this code for machine learning combat learning code)
K
- 用的是自己采集的数据，利用matlab自带的工具箱写了四分类的knn算法，效果很好(With their own data collected, using MATLAB comes with the toolbox to write four categories of KNN algorithm, the effect is very good)
knn
- 经典的分类算法，可以完成基本的分类。。。(Classic classification algorithm, you can complete the basic classification...)
Ch02
- 实现了KNN算法，非常好用，适合初学者分析算法流程(implement KNN algorithm)
kNN
- kNN分类算法机器学习实战中python测试代码用例(KNN classification algorithm, machine learning, actual combat, python test code, use case)
knnimplementation
- 自己编写的KNN算法，不用工具包就可实现。kNN算法的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别，则该样本也属于这个类别，并具有这个类别上样本的特性.(The core idea of the kNN algorithm is that if the majority of the k most neighboring samples of a sample in the feature space belong to a particular category
KraskovMI.m
- KNN算法,互信息估计，来自于mathworks，经测试可以使用(KNN algorithm, mutual information estimates, from mathworks, tested can be used)
Dating Web
- 利用python语言,通过KNN算法,通过对原始数据的分类,找到最适合的约会目标(Using the python language, the KNN algorithm is used to classify the original data to find the most suitable date target)
kNN
- K近邻算法，即是给定一个训练数据集，对新的输入实例，在训练数据集中找到与该实例最邻近的K个实例（也就是上面所说的K个邻居）， 这K个实例的多数属于某个类，就把该输入实例分类到这个类中(K nearest neighbor algorithm function)
handwrite2
- 采用KNN算法，用PYTHON语言实现的手写数字图像识别(Using KNN algorithm, handwritten digital image recognition with PYTHON language)
knn
- 采用KNN（K邻近算法），用matlab平台实现的分类预测算法(Using KNN (K adjacent algorithm), using matlab platform to achieve the classification prediction algorithm)
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型，验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
KNN
- 分类算法数字识别，KNN算法， 调用代码 import lyqKnn from numpy import * lyqKnn.handwritingClassTest()(Classification algorithm digital recognition)
KNN
- 十大经典数据挖掘算法之一knn 利用python实现(One of the data minning algorithm :knn,using python)
KNN方法
- 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一(The adjacent algorithm, or the K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in the data mining classification technique)
knn
- KNN改进算法，在KNN原有的基础之上进行改进的呢算法(The improved algorithm of KNN can improve the algorithm)
kNN
- kNN金陵算法算法源文件，包括输入，过程逻辑算法，输出(Algorithm source file)
knn_Wine-master
- 对于KNN算法对于wine数据集的分类，用matlab语言编写(The classification of the KNN algorithm for the wine data set)
KNN
- matlab编写的knn分类算法，在训练集中数据和标签已知的情况下，输入测试数据，将测试数据的特征与训练集中对应的特征进行相互比较，找到训练集中与之最为相似的前K个数据，则该测试数据对应的类别就是K个数据中出现次数最多的那个分类。(KNN classification algorithm written by MATLAB)