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Description: 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
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Size: 18145 |
Author: 赵京雷 |
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Description: 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.
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Size: 201728 |
Author: canny06 |
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Description: 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-encoding and end-of-block coding in Mat2Vec, and a program which do JPEG-like entropy coding. A complete compression example is shown in TestMat2Vec.m. This file is all you need for Huffman coding in MatLab.-This file contains a new and improved version of on of the Huffman coder, (June 29. 2001). The name is Huff06.m. There are also some additional files which are helpful wh en using Matlab for data compression : quantizer. different variants of run-length-encoding an d end-of-block coding in Mat2Vec. and a program which do JPEG-like entropy coding . A complete compression example is shown in Tes tMat2Vec.m. This file is all you need for Huffma n coding in MatLab.
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Size: 25600 |
Author: 金金 |
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Description: 此程序能够计算一个数据集的熵和基于某个属性的熵-this procedure to calculate a data set based on the entropy and the entropy of a particular attribute
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Size: 946176 |
Author: 杨清滨 |
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Description: 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
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Size: 2323456 |
Author: 赵京雷 |
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Description: 一种文本分类数据挖掘的技术，比较几种不同的文本分类方法，重点介绍熵。-A text classification data mining techniques to compare several different text classification methods, focusing on entropy.
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Size: 169984 |
Author: lili |
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Description: 计算化合物热容，应用NASA提供的热力学参数计算不同物质的热容，焓，熵数据-Compounds calculated heat capacity, the application of NASA provided thermodynamic parameters of different substances, heat capacity, enthalpy, entropy data
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Size: 1024 |
Author: Xin |
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Description: 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
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Size: 282624 |
Author: Leo |
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Description: 最大熵法实现功率谱估计，内附算法实例及数据结果。-Maximum entropy power spectrum estimation method, containing the results of algorithm and data examples.
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Size: 1024 |
Author: single |
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Description: 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 encoding technology, its basic principle is the use of the adjacent time frame relevant, through the forecast period to reduce redundancy. In the actual code, in order to save bit rate and does not transfer all the data of each frame, but the use of motion estimation for each frame obtained with the prediction of the difference between the reference frame. Motion estimation more accurate, more closer to the margin and the distribution of zero, the smaller the energy difference between blocks, after transform, quantization and entropy coding of the code produced by the bit stream bit rate is less. Therefore, the motion estimation search accuracy of the direct impact on the performance of the compression coding.
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Size: 17408 |
Author: 罗鹏 |
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Description: 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 high dimensional data set.
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Size: 133120 |
Author: volkanbaykan |
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Description: 这篇文章主要讲述了，数据挖掘中基于熵理论的算法。-This article is mainly about, and data mining algorithms based on entropy theory.
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Size: 180224 |
Author: gfshycm |
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Description: 根据拓扑的吞吐量、丢包和延迟数据计算网络的总体损害-According to topology throughput, packet loss and latency data of the network' s overall damage to
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Size: 48128 |
Author: mahongmei |
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Description: To estimate approximate entropy for EEG signal or time series data
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Size: 6144 |
Author: murugavel.asm |
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Description: Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.
We introduce kernel entropy component analysis (kernel ECA) as a new method for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising.
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Size: 3072 |
Author: johhnny |
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Description: Entropy R.Data This is an implementation of Entropy in R.
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Size: 4096 |
Author: violetamf3 |
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Description: entropy program that is a data for a test for a value of entropy
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Size: 4096 |
Author: Aziz rwhani |
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Description: 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 compression technology in the technology section of the text in each letter is a bit different lengths (Bit) replaced. In contrast the LZ77 or LZ78 data compression method, etc., in these methods section of the original letters column is replaced by other letters. Each letter appears in accordance with its possibilities to obtain the optimal number of bits depends on the entropy. This procedure provides not only source, but also provide examples.
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Size: 286720 |
Author: 安慰安防 |
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Description: 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 possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes.
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Size: 2048 |
Author: rajesh |
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Description: 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
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Size: 493568 |
Author: 吴 |
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