ssvm

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

这是介绍基于蚁群优化算法的碎纸拼接的文章(This is to introduce ant colony optimization algorithm shredding stitching articles)

信息论实验仿真。包括马尔科夫信源、huffman编码、瑞利分布、分组码编码、熵计算等等。(Information theory experimental simulation. Markov source, huffman coding, Rayleigh distribution block code encoding, entropy calculations, and so on.)

机械加工轨迹仿真，适合于各位科研工作者之间的相互学习(Mechanical processing trajectory simulation, suitable for all scientific research workers between mutual learning)

模糊聚类算法的MATLAB实现，对理解FCM算法的原理有实质性的帮助。(The apply of FCM on matlab,which takes a significant help to understand the FCM algorithm.)

有matlab和vc联合编程实现kd树实现过程，附有它们之间转化用的max文件和动态链接库dll文件。(Matlab and vc are the joint programming process to achieve the realization of kd tree, accompanied by their transformation with the max files and dynamic link library dll file.)

奇异值分解用于英文文本检索，画出频率矩阵第一奇异值向量和第二奇异值向量的分布图( a fast retrieval algorithm for English texts is proposed. First of all, the English texts are mapped into frequency matrixes of order 26 and the dimensions of texts representation space are reduced through Singular Value Decomposition. Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of letters. )

利用空间平滑技术的多重信号分类MUSIC算法，在matlab环境下实现(The use of spatial smoothing technique multiple signal classification MUSIC algorithm in matlab environment to achieve)

EEG signal classification by SVM

rgb 绘图问题 是matlab方面的 (rgb graphics aspects of the problem is matlab)