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zuidashanruanjian
- 最大熵软件包用于中文信息处理可以用来分类-Maximum entropy package for Chinese information processing can be used to Categories
selfadaptingthreshold
- 含KSW，最小偏态法；信息熵迭代法；最小误差法的m文件，是我做课题时选择阈值分割方法时自己编的。-Containing KSW, the smallest skewness method information entropy method the smallest error of law m file, I choose to do so when the subject of methods of threshold segm
Information_Theory
- 从国外找到的matlab信息论工具箱，比较实用，可以求随机变量的互信息和熵。-Matlab information toolbox, including m files for computing multual information and entropy.
Entropyreduction
- 对于布尔属性决定信息增益,得出在给定规则的情况下的信息熵的平均约简-Boolean attribute information for the decision to add, come to the rules in a given case the average information entropy reduction
ImageEntropy1
- 这个例子主要用于计算一个图象的信息熵,当我们测量这个图象的紧密程度时约简在不确定增益.-This example of a main image used to calculate the information entropy, when we measured the extent of the image of the close of uncertainty when the gain reduction.
DecisionTree
- 通过构造决策树来进行分类,并用信息熵来剪枝获取最小的树从而进行属性约简-By constructing a decision tree for classification, and information entropy to obtain the smallest tree pruning in order to carry out attribute reduction
MI
- 计算两幅图中的互信息，首先计算两幅图的分别香农熵，再计算它们的联合直方图。-calculate the Mutual-Information of two image
ronghepingjiazhibiao12
- 很全的图像融合指标，综合熵、空间频率、互信息等等，一共7种！和两幅源图像！每个程序都测试过，效果很好，直接出结果-Are all indicators of image fusion, integrated entropy, spatial frequency, mutual information, etc., a total of 7! And the two source image! Each program is tested
AsymptoticEquipartitionProperty
- 信息论基础 离散信源的无错编码讲义 4.1 信源编码概述 4.2 无记忆信源的渐近等同分割性 与定长编码定理 4.3 离散无记忆信源的变长编码 4.4 离散平稳信源及其编码定理 4.5 马尔可夫信源的信息熵及 -Information theory-based discrete source of the error-free coding notes 4.1 Overview 4.2 Source
SLIQ
- SLIQ数据挖掘算法，使用c++实现，使用SLIQ算法，用信息熵的方法作为决策树节点列策略-SLIQ data mining algorithms using c++ implementation
Entropyweight
- 利用信息熵原理，根据数据的混乱度，确定各个信息的权重系数-The use of information entropy theory, the chaotic degree of the data to determine the weight coefficients of the various information
MaxEntropy
- 最大熵模型，信息检索中常用，压缩包中有三个ppt，有英文的，有中文的-Maximum entropy model, commonly used in information retrieval, compressed packet, there are three ppt, in English, there are Chinese
shang
- 信源的信息熵算法的实现。用于人工智能统计。-Source of information entropy algorithm.
algorithm
- 阈值法是图像分割的一种重要方法, 在图像处理与识别中广为应用. 提出了一种基于灰度2梯度共生矩阵 模型和最大熵原理的自动阈值化方法. 该方法不仅利用了图像的灰度信息, 而且也利用了梯度信息, 通过计算基 于灰度2梯度共生矩阵的二维熵, 并使边缘区域的熵最大来选择阈值向量. 仿真结果显示, 该算法比其他二维熵方 法效果更佳.-Th resho lding is an impo rtant fo rm of image segm
segmentation
- 基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。-K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization
cal_entropy256
- 可以读取256级灰度图片，并且计算该图片的信息熵，信息论要用到-Can read the 256-level grayscale images, and calculate the image of the information entropy, information theory use
Quantizer-lloyd
- 有关标量量化的lloyd-max方法及信噪比，信息熵，最小平方距离的度量方法-The scalar quantization of the lloyd-max method and signal to noise ratio, information entropy, least squares method of distance measurement
duochidushang
- 提出了一种基于数学形态学的多尺度熵权边缘检测方法。信息熵为图像的内在特性，由它来决定不同结构元 素所提取的边缘在最终合成边缘中所占的比重，是自适应的和客观的-A multi-scale based on mathematical morphology edge detection method of entropy. Information entropy inherent characteristics of the image,
Imagesegmentationalgorithmbasedoninformationentrop
- 基于信息熵图像分割算法的若干改进,阈值分割-Image segmentation algorithm based on information entropy of a number of improvements Threshold
shangdematlab
- 熵与条件熵，疑义度，噪声熵，互信息等计算程序熵与条件熵，疑义度，噪声熵，互信息等计算程序-Entropy and conditional entropy, equivocation, noise Entropy, mutual information, and procedures for Entropy and conditional entropy calculation, doubt, noise Entropy, mutual