搜索资源列表
K-Means-master
- 模糊C均值聚类算法的PYTHON实现,在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
k-means
- java实现kmeans算法,方便数据挖掘相关人员更直观了解整个算法的思想及实现过程-java achieve kmeans algorithm to facilitate data relevant personnel more intuitive understanding of the whole idea of mining algorithms and implementation process
k-means
- 简单实现聚类算法中的经典k-menans算法,实现数据是二维数据- U7B80 u5B5 u5B9 u7B0 u803A u7R09 u7B09 u7B09
kmeans2
- 此程序可以实现大型数据聚类算法,其中含有测试数据。(This program can achieve large data clustering algorithm, which contains test data)
kmeans
- 基于k均值的无监督聚类算法,输出有各个样本的类别标签,目标函数在每次迭代后的值,聚类中心以及聚类区间。内有测试数据,点击 test.m 可以完美运行。(The unsupervised clustering algorithm based on K means outputs the class labels of each sample, the value of the target function after each iteration, the clustering center a
kmean
- 负荷聚类,通过对负荷数据进行处理,提取典型用电方式,然后对典型用电方式进行聚类(load pattern clustering)
Data_Clustering
- 对给定的一堆数据进行聚类,并进行类别标记(Clustering a given set of data)
kmeans2
- 用于构建数据概要,用于分类、模式识别、假设生成和测试;用于异常检测,检测远离群簇的点。(Used to build data outlines for classification, pattern recognition, hypothesis generation and testing; for anomaly detection, detecting points away from the cluster.)
kmean
- 对大量的数据通过matlab软件,运用k均值算法进行分类,(Using the matlab software to use the k-means algorithm to classify the large amount of data,)
kmeansuanfa
- 对大量的数据通过matlab软件,运用k均值聚类算法进行分类,(By using matlab software, a large number of data are classified by using k-means clustering algorithm.)
ksuanfa
- 对大量的数据通过matlab软件,运用k均值聚类算法进行分类,上传文件中含例子(A large number of data are classified by matlab software, using k-means clustering algorithm to classify and upload files with examples)
vbbzsb
- k-means实现 用于数据挖掘的著名的算法 非常使用()
xarentheses
- kmeans算法实现 a simple k-means clustering routine returns the clus()
12955789
- K-Means动态聚类算法源程序c++()
246292
- 2个举类的简单k-means算法,非常简单,新手给大家提供参考了()
zolam
- KMEANS Trains a k means cluster model CENTRES KMEANS(CENTRES,()
RBF-k均值聚类
- RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
k-means
- 半监督学习下的kmeans,用数据集,代码注释详细(Kmeans under semi supervised learning)
数据挖掘4
- 本实验主要涉及数据挖掘的实现 K-means和DBSCAN聚类算法,完成对中医数据的处理。(This report is mainly about the Data Mining algorithm, includes K-means and DBSCAN algorithm.)
k-means
- Kmeans算法C++实现,Kmeans是数据挖掘的一种数据分类算法(kmeans algorithm achieved in C++)