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.
K4
- K均值算法 利用K均值方法对数据进行分类，将数据按自己要求进行分类-K-means algorithm using K-means method for data classification, data classified according to their own requirements
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
- 用VC或Java实现K-means聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片（自己选择）作为数据集，比较运行时间（画出时间与像素点的关系曲线图，因此须用多幅像素个数不同的图片进行实验），提交实验报告与源代码。-K-means clustering algorithm for algorithm termination conditions, with a picture (their choice) as a data set to compare the running
10-da--suanfa
- 讲述了最著名的十大数据挖掘算法，经典资料，国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法：C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.-About the top ten most famous data mining algorithms, the
Kkmeann-
- 使用k-means算法对150个数据集进行分簇。-K-means algorithm uusing 150 data sets to carry out sub-cluster. -Use k-means algorithm on 150 data sets clustering.-K-means algorithm uusing 150 data sets to carry out sub-cluster.
K001-
- 实现k-means方法 给定数据 将其分为几类 每类的聚合度很高--K-means method will be divided into several classes to the high degree of polymerization of each class of a given data-
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
K_means_clustering
- 聚类算法，用于实现多类数据的聚类分析，K-means是其中的一种-Cluster analysis, K-means clustering algorithm, used to implement a variety of data
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
FB_DataMing_kmeans
- k-means数据挖掘算法，基于kmeans聚类算法工艺参数基准值的挖掘-mining data mining of the k-means algorithm, based on the kmeans clustering algorithms process parameters reference value
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.