搜索资源列表
CART
- 数据挖掘算法，K-means聚类算法源代码，用于聚类分析-data mining algorithms, K-means clustering algorithm source code for the cluster analysis
fuzzy_k_means
- 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
数据挖掘常用算法
- 数据挖掘常用的算法，包括id3，k均值，FCM，SVM,CART五个常用的算法，是用matlab编写的。-commonly used data mining algorithms, including id3, k mean, FCM, the SVM, CART five commonly used algorithm is the use of Matlab prepared.
programe
- 数据挖掘K－平均算法的MATLAB程序，效果一般
clustering
- 将Weka数据挖掘工具所产生的K-MEANS和DBSCAN结果转化成MATLAB可输出三维图像的格式
数据挖掘中K均值算法实现
- 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
MachineLearning
- 用MATLAB写的，关于数据挖掘的很多算法，如PCA,K-MEANS等，最重要的他是图形化界面-Written using MATLAB on a lot of data mining algorithms, such as PCA, K-MEANS, etc., the most important he is a graphical interface
KNNclassifier
- KNN分类方法的MATLAB代码，可以用于数据挖掘中的K最邻近值聚类方法的实现-KNN classification of MATLAB code
kmeans
- 用于数据挖掘聚类分析的简单的K平均算法Matlab源代码-Simple K-means for data mining (Matlab)
kmeans
- 数据挖掘聚类算法中，K-means的matlab实现-Data mining clustering algorithm, K-means the matlab implementation
K-means
- K-均值聚类算法程序，数据挖掘中比较经典的一种聚类算法-K-means clustering algorithm procedures
k-means
- K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
BAMIC
- 该代码使用BAMIC方法实现数据挖掘中多示例聚类方法来解决分类问题。-BAMIC performs multi-instance clustering by adapting k-medoids algorithm to deal with objects described using bags of instances
K-means-clustering-experiments
- k-means算法实现，数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
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
kMeansCluster
- 数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量，使用欧拉距离计算对象之间的相拟度-K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。
Kjunzhi
- 数据挖掘中, k-Means 算法是一种 cluster analysis 的算法,其主要是来计算数据聚集的算法,主要通过不断地取离种子点最近均值的算法。-In data mining, k- Means algorithm is a kind of cluster analysis algorithm, the main is to calculate the data aggregation algorithm, mainly through constantly take the seed
julefenxi
- 聚类分析算法（K-means）。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
JLFX
- 聚类分析算法（K-means）。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
K均值对iris数据集聚类
- k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)