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C4_5.m
- his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
ApEn
- To estimate approximate entropy for EEG signal or time series data
huffmam_coding
- In computer science and information theory, Huffman coding is an entropy encoding algorithm used for lossless data compression
huffmn
- In computer science and information theory, Huffman coding is an entropy encoding algorithm used for lossless data compression. The term refers to the use of a variable-length code table for encoding a source symbol (such as a character in a file) wh
DATA-ASSOCIATION-BASED-CE-METHODS
- 基于cross entropy最优方法对phd跟踪结果进行目标关联-Based on cross entropy method for phd optimal target tracking results associated
ls-svdls
- 最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 -Least-squares method (also known as least squares) is a mathematical optimization techniques. It does thi
Fuzzy_MI(data)
- 计算Fuzzy Mutual Information and Fuzzy Entropy-calculate Fuzzy Mutual Information and Fuzzy Entropy
approx_entropy
- 数据集近似熵值的计算，matlab程序代码，简单方便-Data set approximate entropy calculation matlab program code, simple and convenient
sampenc
- 对数据集特征压缩，用样本熵的方法进行压缩，简单，易懂，matlab程序源代码-Compressed data set characteristics, sample entropy compression, simple, understandable, matlab program source code
ApEn-approx_entropy
- ApEn approx_entropy 两种计算近似熵的算法，一个程序简洁明了，一个从基本原理分布算起便于理解，亲自调试，都通过程序验证，结果一致，替换数据即可使用-Approximate entropy algorithm the ApEn approx_entropy two calculations, a program concise, counting a distribution from the basic principles of ease of understanding,
sampleEn
- 样本熵可以帮助你提取一些数据的特征，这是一种非线性的方法。-Sample entropy can help you to extract some of the characteristics of the data, which is a non-linear approach.
APEN
- 近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力-Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time serie
MIToolbox
- The MIToolbox contains a set of functions to calculate information theoretic quantities from data, such as the entropy and mutual information. The toolbox contains implementations of the most popular Shannon entropies, and also the lesser known
Wines-Evaluation
- 2012年全国大学生数学建模竞赛题目--葡萄酒的评价。文件中包含葡萄酒成分数据（Excel文件）、各种数据统计处理的MATLAB函数（已封装好，直接调用），包括：数据预处理、灰色预测、灰色关联度、基于熵权法的模糊综合评价、主成分分析、系统聚类、多元线性回归等程序。-Wines Evaluation from the title of 2012 National Undergraduate Mathematical ModelingContest. The file includes many M
matlab-for-maximum-entropy
- 用于利用最大熵法求解数据资料服从的分布类型。并应用最小二乘法求解模型以得到最优解-Using the maximum entropy method for solving the data distribution type of obedience. And apply the least squares method to obtain the optimal solution to solve the model
wavelet_entropy
- 对文件夹下的EXECL文档进行批量计算，该程序用来计算NeuroSky采集到的raw data脑电数据的小波熵，经过验证得到的结论和别人得到的结论一样-help you to calculate the wavelet entropy, the data is collected from NeuroSky Mindset, it is worth for you to read and understand it.
Calculate-entropy
- 本程序主要计算一维数据序列的熵值，主要对数据序列进行数据分析-The program is mainly calculate entropy for one-dimensional data series
least-square-method
- 最小二乘法是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。-Least squares method is a mathematical optimization techniques. It matches by squaring and finding data to minimize t
shoumingyuce
- 偏最小二乘法，它通过最小化误差的平方和找到一组数据的最佳函数匹配。 用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。 很多其他的优化问题也可通过最小化能量或最大化熵用最小二乘形式表达。-Partial least squares method, which by minimizing the square error and one set of data to find the best matching function. The simplest method to obta
SampEn
- %SAMPEN??计算时间序列data的样本熵 %? ?? ???data为输入数据序列 %? ?? ???m为初始分段，每段的数据长度 %? ?? ???r为阈值 % $Author: lskyp % $Date:? ?2010.6.20 % Orig Version: V1.0--------分开计算长度为m的序列和长度为m+1的序列 %? ?? ?? ?? ?? ?? ?? ?? ?? ?这一版的计算有些问题，需要注意两个序列总数都要为N-m % Modi Version: