搜索资源列表
DM_BayesAndKNN
- C++实现数据挖掘的贝叶斯分类方法和k-近邻分类方法，有源码，有示例数据，有说明文档-C++ implementation of data mining methods and Bayesian classification k- nearest neighbor classification method, there is source code, sample data, documentation
KNN
- K近邻算法的python代码，针对婚恋网站调查数据-the python code especially for k-nearest algorithm on the condition of wedding data
jinlin
- 最近邻法，K-近邻法，剪辑近邻法和压缩近邻法。模式识别-Nearest neighbor, K- nearest neighbor, editing and compression nearest neighbor nearest neighbor method. Pattern Recognition
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
KNN1
- 对k近邻方法进行改进，knn方法中自动获取k值-Automatic selection of K value in KNN algorithm
KdTree
- kdtree的建立，实现k近邻搜索，已经按半径搜索-Kdtree establishment, and k nearest neighbor search and radius of the index
kNN
- k近邻算法，可以简单准确的对数据，按照给定点与设定点的欧氏距离大小，进行分类-K nearest neighbor algorithm, can be simple and accurate data, in accordance with the set point to the point and the Euclidean distance of the set point size, classification
findKN
- 在数据挖掘、人工智能等领域中，都常用到KD树来进行K近邻查找。本程序是自己用C++实现的一个KD树来进行的K近邻查找程序，包含建树和查找。文件中附有测试文件。-In data mining, artificial intelligence and other areas, it is commonly used to KD tree to find K nearest neighbor. This procedure is K neighbor Finder C++ they used to a
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
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
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
classification
- Iris数据的最近邻分类与k近邻分类程序，以及5路交叉验证，适合于新手学习，附有数据集-And nearest neighbor classification k-nearest neighbor classification procedure Iris data, as well as 5-way cross-validation, suitable for novices to learn, with data collection
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
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
knear
- 使用MATLAB实现的非参数技术分类，包含了k近邻技术，包含数据集和测试集，具有很大的参考意义。-Non-parametric classification techniques implemented using MATLAB, including k-nearest neighbor technology, including data sets and test sets, has great reference value.
KNN
- kNN,k-近邻算法，caiyong解决分类问题-KNN, k- u8FD1 u90BB u7B97 u6CD5 uFF0C u89E3 u51B3 u5206 u7C7B u95EE u9898
mechine-learning
- 本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。 全书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效的可复用Python代码来阐释如何处理统
MLkNN
- K近邻分类算法是一种简单有效的方法，基于此提出了多标签K近邻分类算法用于多标签分类研究(multi-label classification algorithm)
pattern recognition
- 模式识别，fisher判别法，近邻法，k近邻法matlab例程(Pattern recognition, Fisher discriminant method, nearest neighbor method, k nearest neighbor method, matlab)
KD-tree
- C++构建简单的KD树并查找K近邻，是一篇文档，内附代码，代码亲测可用(C++ to build a simple KD tree, and find K nearest neighbor, is a document, enclosing code, code pro test available)