搜索资源列表
knn
- knn分类算法，实现了knn分类算法，还不错-KNN categorization algorithm
KNN
- In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression
KNN
- 《机器学习实战》K近邻算法的代码实现以及数据，真实可靠，欢迎使用-" Machine learning real" K nearest neighbor algorithm code and data, real reliable, welcome
ML-kNN
- 针对单标记学习算法KNN进行改进，适用于多标记数据集改造而成的多标记K临近算法。-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm.
knn1
- 基于RSSI的室内定位KNN算法 ，matlab例子-RSSI-based indoor positioning KNN algorithm, matlab example
knn
- 一个简单的KNN实现,利用距离测试点最近的k个点的所属类别，进行投票表决，票数多的即为测试点所属的类别-the algorithm of k-nearest neiberhood to judge the test data s classification
kNN
- 使用k-近邻算法改进约会网站的配对算法和使用k-近邻算法的手写数字识别系统-Use k- nearest neighbor matching algorithm to improve the dating sites and use of k- nearest neighbor handwritten numeral recognition system
KNN
- 自己实现机器学习十大算法中的k最近邻算法，经过测试，算法运行很好-Own machine learning algorithm to achieve the k nearest neighbor algorithm, tested, the algorithm runs very well
beiyesigen
- 各种贝叶斯，k紧邻，KNN算法实例大集合-Various Bayes, k close, a large collection of KNN algorithm example .............
KNN
- KNN K近邻算法 来自视觉机器学习中的代码-The KNN K Nearest Neighbor algorithm comes the code in the visual machine learning
viuw
- Search king imp, view the demo, a corresponding KNN algorithm
KNN
- knn聚类算法的python描述，兼容python2.7 3.0以上版本-python knn clustering algorithm descr iption, compatible python2.7 3.0 or later
knn_logistic_naiveBayes
- 统计机器学习经典分类算法MATLAB代码，付数据集。包括knn算法，逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.
kNN
- 机器学习实战中，K近邻算法的实现。包括算法实现，算法分类测试-Machine learning combat, the realization of K nearest neighbor algorithm. Including the algorithm, the algorithm classification test
matlab
- 简单贝叶斯，PCA自写函数，自写KNN算法，都能运行，还有一些以后补充。-Simple Bayesian, PCA write function, write KNN algorithm, can run, there are some later added.
Python
- 实现KNN算法，通过输入参数K，找出临近K个点的类别，通过少数服从多数的原则，判别输入个体的类别。-Achieve KNN algorithm, K input parameters to identify categories near the K-point, through the principle of majority rule, determine an individual category input.
ML_project
- 程序是对手写体数字进行识别，用knn算法，代码编写是用java。训练样本和验证样本都在代码中提供了。-The program is to handwriting figures to identify, with knn algorithm, the code is written with java. Training samples and validation samples are provided in the code.
testKNN.m
- Validating binary classification with KNN algorithm
KNN
- 最近邻算法的python代码，包含有可使用的数据集和测试集。-The python code for the nearest neighbor algorithm contains available data sets and test sets.
DataMiningProject1
- 实现了数据集的随机划分，并且能计算测试集的准确率(First, the random partition of the data set is realized, and the accuracy of the test set can be calculated by the KNN classification algorithm)