搜索资源列表
Huffman_mfc
- 哈夫曼编码，基于MFC开发。哈夫曼编码为熵编码中的最佳方法之一，广泛用于各种数据压缩技术中。-Huffman coding, based on the MFC. Huffman coding for entropy coding one of the best ways, for a wide variety of data compression technology.
huff0645345
- This file contains a new and improved version of the Huffman coder, (June 29. 2001). The name is Huff06.m. There are also some additional files which are helpful when using Matlab for data compression: quantizer, different variants of run-length-enco
tree_Kidney
- 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析.程序功能：增熵分析-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and d
me2svm
- 将最大熵的数据格式转为SVM分类器所需的数据格式-of maximum entropy data formats SVM classifier to the required data format
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
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
Bayesian-machine-learn-data-mining
- 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
9854125413
- 运动估计是视频编码的关键技术，其最基本的原理是利用相邻帧间的时间 相关性，通过预测来减少时间冗余度。在实际编码中，为了节省码率，并不传 输每一帧的全部数据，而是利用运动估计求出每一帧与其预测参考帧之间的差 值。运动估计越准确，差值的分布越趋近与零，差值块的能量越小，经过变换、 量化和熵编码后所产生的码流的比特位率也越少。因此，运动估计搜索的准确 程度直接影响到了编码的压缩性能。 -Motion estimation is the key to video encodin
ENCLUS
- Entropy Based Subspace Clustering for Mining Data - ENCLUS - a new version of PROCLUS algorithm for clustering high dimensional data set.-Entropy Based Subspace Clustering for Mining Data- ENCLUS- a new version of PROCLUS algorithm for clustering hi
ApEn
- To estimate approximate entropy for EEG signal or time series data
entropy
- entropy program that is a data for a test for a value of entropy
entropy-encoding
- 视频信号熵编码源程序 熵编码法是一种进行无损数据压缩的技术，在这个技术中一段文字中的每个字母被一段不同长度的比特(Bit)所代替。与此相对的是LZ77或者LZ78等数据压缩方法，在这些方法中原文的一段字母列被其它字母取代。 每个字母按照其出现的可能性所获得的最佳比特数取决于熵。 本程序不仅提供源程序，还提供相应的实例。-Entropy coding the video signal source for entropy coding method is a lossless data
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
Fuzzy_MI(data)
- 计算Fuzzy Mutual Information and Fuzzy Entropy-calculate Fuzzy Mutual Information and Fuzzy Entropy
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
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
approximate-entropy-matlab-program
- 通过近似熵函数 提取数据特征并画出曲线，可以直接运行-By approximate entropy feature extraction data and draw the curve, you can directly run
entropy
- 计算时间序列数据（降雨等水文气象数据）的信息熵，可用于不确定性分析-Calculation of time-series data (rainfall and other hydro-meteorological data) information entropy can be used for uncertainty analysis
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:
Sample Entropy
- 求一维时间序列的样本熵（Sample Entropy）值，包含 计算时间序列样本熵值的程序 ：SampEn.m 调用SampEn的例程 SampEn_test 和测试数据数据 data 测试结果为 0.1736(calculate the sample entropy of one dimensional time series)