资源列表
[matlab例程] gmm
说明:Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.<西晃云> 在 2025-07-03 上传 | 大小:2kb | 下载:0
[数值算法/人工智能] kmeansNetlab
说明:KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to<西晃云> 在 2025-07-03 上传 | 大小:2kb | 下载:0
[数学计算/工程计算] ppca
说明:Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal % component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which<西晃云> 在 2025-07-03 上传 | 大小:1kb | 下载:0
[数学计算/工程计算] hmc
说明:Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRAD<西晃云> 在 2025-07-03 上传 | 大小:3kb | 下载:0
[人工智能/神经网络/遗传算法] PatternRecognition
说明:详细讲解了模式识别的算法理论,如近邻法,贝叶斯决策理论等,以及人工神经网络的主要算法-Detailed account of the theory of pattern recognition algorithms, such as neighbor method, Bayesian decision theory, as well as artificial neural network algorithm<李小燕> 在 2025-07-03 上传 | 大小:2.28mb | 下载:0