搜索资源列表
kclustering
- 使用k均值法对一组数据进行聚类，画出结果图像-Use the k-means clustering, a set of data to draw the resulting image
k_means
- k-means算法 Iris.data数据集上的实验-experiments on the k-means algorithm Iris.data data sets
julei
- 对“data3.m”数据，采用K-means聚类算法进行聚类。-The " data3.m" data, using K-means clustering algorithm for clustering.
Semi-supervised-learning
- 义了一个欧氏距离和监督信息相混合的新的最近邻计算函数，从而将K一均值算法很好地应用于半 监督聚类问题。针对K一均值算法初始质心敏感的缺陷，用粒子群算法的搜索空间模拟聚类的欧氏空间，迭代搜 索找到较优的聚类质心，同时提出动态管理种群的策略以提高粒子群算法搜索效率。算法在UCI的多个数据集 上测试都得到了较好的聚类准确率。-Righteousness of a Euclidean distance and supervision of a mixture of new nearest n
Ch3Clustering
- 这个是k-means算法的完整实现 k-means 算法是数据聚类算法中比较经典的算法，非常适合初学者-this code is a implementation of k-means algorithm；it is suitable for beginner.
DMProject
- 数据挖掘算法KNN、K-means的实现与挖掘Iris数据集的结果分析-Data mining algorithms, KNN, the K-means to achieve mining Iris data set
kmean
- 利用K均值思想进行数据的有效分类，经验证，有效、可靠性强。-Effective classification of the data using K-means thinking, proven, effective, and reliability.
machine-leaning-
- 机器学习的聚类代码，gmm、层次聚类、k-means,并包含各种数据文件-machine leaning code
kmeans
- K均值聚类算法，此算法自动把数据组聚类分割，效果很好-K-means clustering algorithm, this algorithm automatically data set clustering segmentation with good results
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
clustering
- 使用K-means，混合高斯模型（GMM），层次聚类算法实现的多类别数据的聚类。内含详细的实验报告。-Using K-means, Gaussian mixture model (GMM), hierarchical clustering algorithm to achieve multi-class data clustering. Including a detailed lab report.
kMeans
- k-means算法,内带iris数据作为例子-k-means algorithm, within with the iris data as an example
kmeans_c
- K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类。-K-MEANS algorithm is the input number of clusters k, and includes n data object database, and outputs k clusters to meet the minimum variance standard.
hcm
- k均值是一种简单有效的聚类方法 可用在图像处理和数据挖掘等方面-k-means is a simple and effective clustering method can be used in image processing and data mining
Kmeans
- 统计学中，聚类的划分K-means算法，可以较好地实现不同数据点之间的分离-K-means algorithm used to do partition in a large amount of data points
Kjunzhi
- 模式识别大作业K均值算法matlab平台实现，内有iris数据用于测试一起其他相关资料。-Pattern Recognition great job K-means algorithm matlab platform implemented within the iris data used for testing along with other relevant information.
kmeans
- 数据挖掘中的聚类算法，为k均值算法，算比较经典的算法-Clustering algorithm in data mining, considered a classic algorithm for k-means algorithm
Cluster
- 使用k-means、k-media、层次聚类方法，并通过iris数据集测试-Using k-means, k-media, hierarchical clustering method, and through the iris data set test
K_means
- k均值算法实现聚类,利用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, the use of the data points to the prototype of a distance as the objective function of optimization, the use of function extremum iteration adjustment rules
UCI
- 利用k-means对UCI数据集进行聚类分析，程序中列举了数据集wine和heart数据集-Using the k- means cluster analysis was carried out on the UCI dataset, listed in the program data collection of wine and heart of data sets