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zuoye
- k均值进行聚类分析，把二维模式矢量分成三、四类，用SOFM算法-K-means clustering analysis, the two-dimensional pattern vector is divided into three or four classes, using SOFM algorithm
a4da35a45805
- 动态聚类的k-means图：正确的程序分出的输入数据-K-means clustering dynamic figure: the correct procedures to separate input data
kmeans_22
- k-means示例，用以聚类,里面包含一个特征提取函数，读者可以自行修改-the example of k-means,it will be used clustered.
matlab_kmeans
- k-means无监督机器学习聚类算法，使得同聚类中的记录欧式距离最小。-K-means machine learning method without instruction, minilizing the distances of records in each clusters the.
Kmeans
- 关于K聚类的vc++用vs2010编写，简单处理。-K-means code ,very simple
kmeans
- 主要是基于聚类K均值的算法，用于将彩色图像转化为灰度图像。-Mainly based on K-means clustering algorithm for converting color images to grayscale.
K_CenterPoint_PAM
- k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
kmeans
- k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
Kmeans
- k-means和层次聚类算法，瞎写的，希望指正-K-means and clustering algorithm
GMM
- 聚类算法之高斯混合模型，GMM 和 k-means 很像，不过 GMM 是学习出一些概率密度函数来（所以 GMM 除了用在 clustering 上之外，还经常被用于 density estimation ）。-Gaussian mixture model of clustering algorithm, GMM and k-means like, but GMM is learning some probability density function (so GMM except on cl
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
question-two
- K-means进行文字图像分类，中心谱聚类方法-spectral_clustering is used to classify the photos
Clustering
- 对数据进行归类，采用了k-means,NMF以及谱聚类三种方法。其中， 谱聚类的效率比较低下。-Classify the data, using the k-means, NMF and spectral clustering three methods. Among them, the relatively low efficiency of spectral clustering.
code
- 完成三个聚类算法：k-means，非负矩阵分解，谱聚类-Please implement three clustering algorithms: k-means, clustering by non-negative matrix factorization (NMF), and spectral clustering.
CCA
- 新型可信性聚类算法CCA，聚类性能比FCM和K-Means要好很多-A data clustering method partitions unlabeled data sets into clusters and labels them for various goals such as computer vision and pattern recognition.
kmeans
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering methods on behalf of the objective function, it is a method of data points to a certain d
henghei_v78
- isodata 迭代自组织的数据分析，基于K均值的PSO聚类算法,是一种双隐层反向传播神经网络。- Isodata iterative self-organizing data analysis, K-means clustering algorithm based on the PSO, Is a two hidden layer back propagation neural network.
kingying_v66
- 基于K均值的PSO聚类算法,考虑雨衰 阴影 和多径影响，详细画出了时域和频域的相关图。- K-means clustering algorithm based on the PSO, Consider shadow rain attenuation and multipath effects Correlation diagram shown in detail the time domain and frequency domain.
km4
- 一种面向工艺规划的零件分类和识别方法：采用零件工艺相似系数对零件实现分类。类似K-means的聚类算法。-Part classification and recognition method for process planning: the classification of parts by the process similarity coefficient. A clustering algorithm similar to K-means.