搜索资源列表
Kmean
- K-均值算法，实现二分类，并测试分类精度。-K-means algorithm to achieve two categories, and test classification accuracy.
kmeancluster-pso
- 粒子群K均值聚类算法matlab源代码供大家学习-Particle Swarm K-means clustering algorithm matlab source code
test
- 数据挖掘的作业使用K-means聚类算法 使用的是synthetic_control.data数据集-Data mining operations using K-means clustering algorithm using data sets synthetic_control.data
PCA-K_means
- 基于PCA降维的k-means算法，附带有检测正确率的源码以及相应的检测数据-PCA dimensionality reduction based on k-means algorithm, source code comes with the correct detection rate and the corresponding test data
K-Means
- implémentation de l algorithme kmeans
kmeans
- k-means 算法用java实现对二维点集合的分类 输入相应的类别数 选择聚类中心-k-means algorithm to classify the input using java-dimensional set of points corresponding to the number of categories to select the cluster centers
kmeans
- 使用数据挖掘中的k-means算法实现文本的分类-Using data mining k-means algorithm text classification
kmean
- k-means for iris dataset
K_means
- K均值算法，有测试程序和测试数据。function [out1,out2] = k_means(X,w)-K-means algorithm, test procedures and test data.
Kjunzhi
- k均值算法，对一组三维数据进行K均值聚类分析，分为三类-k-means algorithm, a set of three-dimensional data of K-means clustering analysis, divided into three categories
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
kmean112233
- 用K均值聚类，不错的程序，可以直接运行的程序-K-means clustering, a good program, you can run the program directly
kmeansPP
- 一个有效的实现k - means+ +聚类多元数据算法。已经证明,这种算法有一个预期值的上界值。此外,k - means + +具有较好的收敛性。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the
Clustering_Toolbox
- Robert Gordon University的一个研究人员写的k-means聚类算法工具箱，内容完整可运行。-Includes k-means, hierarchical (single-, complete- and mean-linkage), EM for Gaussian Mixture Models, fuzzy c-means, and a demo.
LSSVM
- 最小二乘支持向量机的单模型建模和基于K均值聚类的多模型建模-A single model of least squares support vector machine (SVM) modeling and modeling based on k-means clustering model
Kjunzhi
- K均值聚类。加深对K均值聚类分析算法的理解，掌握K 均值聚类分析分类器的设计方法。-K-means clustering. Deepen the K-means clustering algorithm to understand and master K-means clustering analysis classifier design method
Kmeans
- 自适应K-均值聚类算法,能够随着聚簇数目的变化而自动调整聚类数，以最合适的聚簇数目来进行数据分类。-Adaptive K-means clustering algorithm, the number can be clustered with the changes in the number of clusters is automatically adjusted to the most appropriate number for clustered data classification
Untitled1
- 聚类算法举例，初学K-均值算法，应用实例说明算法如何实现。-Clustering algorithm, for example, novice K-means algorithm, application examples illustrate how to implement the algorithm.
K_average
- K-均值聚类算法,基本算法代码，算法的目的是使各个样本与所在类均值的误差平方和达到最小。-The purpose of K-means clustering algorithm, the basic algorithm code, the algorithm is to make the class where each sample mean squared error is minimized.