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[Other resourceKNNDEMO

Description: KNN DEMO This is a binary classification problem defined on a N*N field.
Platform: | Size: 3479 | Author: 肖敏 | Hits:

[Windows Developdsdaaaa

Description: 如果需要数据,由服从一定函数分布或在某些区域范围内随机产生,一般解决两分类两维问题,尽量开发可演示程序,论文详细介绍:背景和意义、技术路线、流程、程序和结论。除了给出方法的基本理论和判别依据,注重强调突出自己的思想(改进方法,存在的问题等)。篇幅:2~3页。-If you need data from a certain function subject to distribution or, in some randomly generated within a regional context, the general solution to the two two-dimensional classification problem, as far as possible the development of demo program, papers detail: the background and significance of technology roadmap, processes, procedures and conclusions. Apart from the methods are given basic theory and determine the basis of emphasis to highlight their ideas (to improve the methods, problems, etc.). Length: 2 ~ 3.
Platform: | Size: 625664 | Author: han3992 | Hits:

[AI-NN-PRpercepron

Description: 1.感知器对于线型可分问题的收敛性证明 2.用感知器对线型可分得问题进行分类 1)分三类的问题 2)一组10维数据的分类 3.用感知器对线型不可分的问题进行分类及 不能正确分类的原因证明 说明: 1.运行程序不仅能得到分类的结果,还能够得到网络性能分析的结果 2.matlab7.0下实现-1. Perceptron problem for linear convergence can be proved 2. Use of the linear perceptron can classify one share of problems) are classified into three types of problem 2) a group of 10-dimensional data classification 3. Used for the linear perceptron can not be separated from issues of classification and should not prove correct classification of the reasons: 1. Running the program can not only be the result of classification, but also can be the result of network performance analysis to achieve 2.matlab7.0
Platform: | Size: 158720 | Author: | Hits:

[CSharpclass

Description: 一个简单的class向量分类问题的一个简单的解法,希望对大家有帮助!-A simple vector class classification problem of a simple solution, and they hope to help everyone!
Platform: | Size: 784384 | Author: 张锦 | Hits:

[Consoledemo

Description: svm的一个实现小程序,可以实现分类问题,有一定的作用,-SVM, a small procedure, you can realize classification problem, has a definite effect,
Platform: | Size: 62464 | Author: 刘志飞 | Hits:

[Data structsKNNDEMO

Description: KNN DEMO This is a binary classification problem defined on a N*N field.
Platform: | Size: 3072 | Author: | Hits:

[matlabK-MEANS

Description: 基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题-MATLAB based on the k-means algorithm better solved the problem of image classification clustering
Platform: | Size: 1024 | Author: 刘小强 | Hits:

[Graph RecognizeMatlab_PCA

Description: 做模式分类时(例如指纹识别,人脸识别),一个需要处理的难题是维数非常大,人脸往往是百万维的,目前计算机的能力还不足以快速地计算这么高维的数据。pca是一中降维的方法,用它可以把高维数据映射到一个维数较低的空间上考虑。-To do pattern classification (for example, fingerprint identification, face recognition), a need to deal with the problem is very large dimension, often millions of people face-dimensional, the current capacity of the computer fast enough to calculate such a high-dimensional data. PCA is a dimensionality reduction of the method, it can be high dimensional data is mapped to a lower dimension space to consider.
Platform: | Size: 1024 | Author: 李志焕 | Hits:

[OtherGAMLSAgeneralizedframeworkforassociativemodularlea

Description: pattern recognition中多类分类问题的GAMLS通用学习系统框架-pattern recognition in the multiclass classification problem GAMLS Universal Learning System Framework
Platform: | Size: 145408 | Author: john | Hits:

[AI-NN-PRbp

Description: 在matlab环境下,利用bp神经网络实现异或分类问题-In the matlab environment, the use of bp neural network XOR classification problem
Platform: | Size: 1024 | Author: 王渝 | Hits:

[matlabadaboost_for_matlab

Description: AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.-AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.
Platform: | Size: 6144 | Author: 来海锋 | Hits:

[AI-NN-PRdd_tools_1_6_3

Description: SVDD的工具箱,可以很好的处理一类分类问题,详见Support Vector Data Description一文-SVDD tools,can be used to process one class classification problem,for more details ,we refer to "Support Vector Data Description"
Platform: | Size: 449536 | Author: peng | Hits:

[OtherRSMethods

Description: Rough sets algorithms in classification problem
Platform: | Size: 186368 | Author: xiaoqiang | Hits:

[Mathimatics-Numerical algorithmsautomatic-classification-cluster

Description: 一、问题描述若要在n个城市之间建役通信网络,只福要架设n-1条级路即可.如何以最低的经济代价建设这个通信网,是一个网的最小生成树问题。二、基本要求 (1)利用克鲁斯卡尔算法求图的最小生成树。 (2)能实现教科书6.5节中定义的抽象数据类型MFSet.以此表示构造生成树过程中的连通分量。 (3 ) 以文本形式输出生成树中各条边以及他们的权值.三、需求分析 1、构造图结构。 2、利用克鲁斯卡尔算法求图的最小生成树。 3、完成生成树的输出。 -I. Description of the problem to the n cities built between the service communication networks, Fuk only n-1 to set up the way to class Article. How to minimize the economic cost of building the communications network is a network of minimum spanning tree problem. Second, the basic requirements of (1) the use of Kruskal Algorithm for Minimum Spanning Tree. (2) to achieve 6.5 in the textbook definition of abstract data types MFSet. Spanning tree structure as that in the process of component connectivity. (3) to output text in the spanning tree edges and their weights. Third, a needs analysis, structural map structure. 2, the use of Kruskal Algorithm for Minimum Spanning Tree. 3, complete the spanning tree output.
Platform: | Size: 684032 | Author: 赵婧 | Hits:

[Software EngineeringClassification

Description: this is implementation of classification problem with fuzzy.
Platform: | Size: 2048 | Author: marzieh | Hits:

[matlabPCA_classifier

Description: A basic PCA classifier is provided here for a two class classification problem. An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are detected by the PCA model.
Platform: | Size: 1327104 | Author: AhmedMrc | Hits:

[AI-NN-PR01imp_accord-svm-source

Description: The sample application is able to perform both Classification and Regression using Support Vector Machines. It can read Excel spreadsheets and determines the task to be performed depending on the number of the columns in the sheet. If the input table contains two columns (e.g. X and Y) it will be interpreted as a regression problem X –> Y. If the input table contains three columns (e.g. x1, x2 and Y) it will be interpreted as a classification problem <x1,x2> belongs to class Y, Y being either 1 or -1.
Platform: | Size: 508928 | Author: jitesh | Hits:

[matlabbp-neural-network-classification-

Description: bp神经网络分类问题应用于识别四类语音信号-bp neural network classification problem applications
Platform: | Size: 377856 | Author: 尹天仇 | Hits:

[matlabFuzzy-classification-with-BP

Description: The combination of Back Propagation Neural Network and Fuzzy Theory for Classification problem.
Platform: | Size: 17408 | Author: Cindywu_2015 | Hits:

[Otheralgorithm.synctex

Description: FUZZY VIKOR-TOPSIS to resolve classification problem.
Platform: | Size: 23552 | Author: aa1ww | Hits:
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