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混沌时间序列预测
- 1、该工具箱包括了混沌时间序列分析与预测的常用方法,有: (1)产生混沌时间序列(chaotic time series) Logistic映射 - \ChaosAttractors\Main_Logistic.m Henon映射 - \ChaosAttractors\Main_Henon.m Lorenz吸引子 - \ChaosAttractors\Main_Lorenz.m Duffing吸引子 - \ChaosAttractors\Main_Duffing.m Duffin
KNN
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
KNN
- 自己的模式识别的作业，matlab实现k近邻算法。-K-Nearest Neighbour algorithm
code_knn
- K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
knearest
- MATLAB 小程序，可以实现模式识别中的K近邻算法，已经运行成功，附运行程序结果-MATLAB small programs can be achieved in the K-nearest neighbor pattern recognition, has been running successfully run the program attached to the results of
knniris
- 模式识别中的k近邻算法，用matlab编写，希望对大家有所帮助-K-nearest neighbor algorithm for pattern recognition with matlab write, we want to help
knnmatlab
- 不同的K近邻分类算法，基于matlab开发，不错。-matlab knn classification
knn
- K近邻算法在MATLAB中的通过编写代码来实现的样例-K nearest neighbor algorithm in MATLAB by writing code in the sample achieved
KNN_Matlab
- K近邻分类的Matlab算法，简单，适合初学，验证可用-KNN
4
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read
8
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K neighbor algorithm (KNN) of matlab source code, and the program is clear and easy to read
kNN
- 用matlab实现K近邻算法，用于数据挖掘的分类-K-nearest neighbor algorithm for the classification of data mining using matlab
KNN
- k近邻算法的matlab程序实现，注释详尽，通俗易懂，适合初学者-matlab s program of k-nearest algorithm
8888458knn
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
ncm.v1.1
- k近邻算法源代码，用matlab语言编写的，适用于分类及相关问题的分析-K neighbor algorithm source code, written with matlab language, suitable for classification and analysis of the related problem
MLkNN
- ML-KNN，这是来自传统的K-近邻（KNN）算法。详细地，为每一个看不见的实例中，首先确定了训练集中的k近邻。之后，基于从标签集获得的统计信息。这些相邻的实例，即属于每个可能类的相邻实例的数量，最大后验（MAP）原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究，即酵母基因功能分析、自然场景分类和网页自动分类，表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo