搜索资源列表
k-means
- K均值算法，将数据矩阵命名为data，设置聚类簇个数k，可对多维数据进行聚类。-K mean algorithm, the data matrix is named data, set the number of clusters K, can be used to cluster the multi-dimensional data.
fcm2
- 简单的模糊c均值的matlab程序，希望对大家有所帮助，如有不对，请告知。-Simple fuzzy C mean Matlab procedures, we want to help, if there is wrong, please let us know.
k
- k mean algorithm implementation using random cluster centroid
EM
- 对于混合高斯分布的情况，使用最大期望算法，通过不断计算每个样本的均值与方差，使得似然函数达到最大值。可以很好地处理满足一定概率分布的数据。 代码中通过mvnrnd()函数，设定其中的参数，产生符合混合高斯分布的一组数据集。-For the case of a mixed Gaussian distribution, using expectation-maximization algorithm, through continuous calculation of the mean and
K-MEAN
- k-均值聚类算法的源代码，推荐的大家使用junzhinjuleisuanfa-k-junzhiyuandaima
DataMining
- 基于K-mean以及其他算法的数据挖掘，主要是乳腺癌数据集，附有数据集-Data mining based on K-mean, as well as other algorithms, mainly breast cancer data sets, with data sets
plot_cv_predict
- 等渗的插图对生成的数据回归。等张回归发现引入近似函数的同时最小化均方误差的训练数据。-An illustration of the isotonic regression on generated data. The isotonic regression finds a non-decreasing approximation of a function while minimizing the mean squared error on the training data.
CYCLIC-MEAN
- 传感器振动信号的处理，求解信号的循环平稳均值-Vibration sensor signal processing, signal cyclostationary mean solving
Antoni
- ANTONI信号处理：对传感器采集信号利用MATLAB进行均值处理-ANTONI Signal Processing: collecting the sensor signal processing with MATLAB mean
Kmean
- k-mean聚类算法。最简实现，全部做了中文注释-K-mean clustering algorithm. The simplest implementation, all done in Chinese Notes
FCMCluster
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
方差分析
- 方差分析又称“变异数分析”，是R.A.Fisher发明的，用于两个及两个以上样本均数差别的显著性检验(ANOVA, also called variance analysis, was invented by R.A.Fisher, which was used to test the significance of the mean difference between two and more than two samples)
dataanalyse
- 利用pandas、numpy、scipy组建的数据分析工具。可以实现均值、频数、最大值、最小值、分位数等得统计。(Data analysis tools built by pandas, numpy and SciPy. The statistics of mean, frequency, maximum, minimum and quantile can be achieved.)
EM 算法
- 用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, v