搜索资源列表
kmeans
- k均值聚类方法。 在给定一个有n个对象的数据集，划分聚类技术将构造数据进行k个划分，每一个划分代表一个簇，k小于等于n。-k-means clustering method. Given a set of n objects data, dividing the data clustering techniques to construct k partitions, each partition represents a cluster, k less than or equal n.
K-Means
- K-MENAS算法是最简单的聚类算法，适合对于初学者的学习和改进使用-K-MENAS algorithm is a clustering algorithm is the most simple, suitable for beginners to learn and use improved
FCM
- FCM算法是模糊聚类算法，是在对K-MEANS算法的基础上改进的聚类算法，比L-MEANS算法有更好的效果-FCM algorithm is a fuzzy clustering algorithm, clustering algorithm is improved based on the K-MEANS algorithm, the L-MEANS algorithm is better than the effect of it
k-means-original
- k-menas算法是最简单的聚类算法，算法内详细介绍了各个函数和功能，对初学者很有借鉴意义-K-MEANS algorithm is one of the most simple clustering algorithm, there are different form, this is one of them, a reference for beginners
2014-Science-clustering
- 2014年发表在Science中的一篇文章Clustering by fast search and find of density peaks，其中还包括了作者用到的数据集和MATLAB源程序-2014 published an article in Science Clustering by fast search and find of density peaks, which also includes the author used data sets and MATLAB sourc
kmeans
- k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
clustering
- R语言聚类算法，数据挖掘，可以直接运行！！欢迎下载-R language clustering algorithm, data mining, can be directly run!!!!!Welcome to download
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
Campuran-SOFM-SVR-dengan-Seleksi-Fitur-Berbasis-F
- The explenation how to clustering data by using Self Organzing Map. I hope that it would be help. THanks.
PSOjulei
- 本文是粒子群聚类算法代码，很细致，希望大家用得上！-This is the class of particle clustering algorithm code, very detailed, I hope you need them!
cluster
- science杂志上关于聚类的文章代码,通过重新定义距离和密度的概念，自动获取聚类中心-clustering Codes about an article published in a scientific journal
clustering
- clustering evolutionary
clustering
- samples about clustering in matlab : K-means algorithm K-medoids algorithm DBSCAN algorithm
sparse-subspace-clustering
- 关于稀疏子空间聚类的算法程序实现，及对应的论文，matlab源码实现。-On sparse subspace clustering algorithm procedures, and the corresponding paper, matlab source code.
Clustering
- 对数据进行归类，采用了k-means,NMF以及谱聚类三种方法。其中， 谱聚类的效率比较低下。-Classify the data, using the k-means, NMF and spectral clustering three methods. Among them, the relatively low efficiency of spectral clustering.
YPML101-Evolutionary-Clustering
- dbscan聚类算法matlab代码，实测可用-dbscan clustering matlab code!!
Clustering-results-measurement
- 度量聚类精度的matlab程序，可用于聚类算法评估-Measure percentage of Accuracy and the Rand index of clustering results
density-peaks-clustering
- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码 This is a simple density peak clustering code, compared to the original author of the code to be concise and rapid. And provides RI index de
hierarchical-clustering
- 这段代码是层次聚类的Matlab实现代码- This code is hierarchical clustering Matlab implementation code
Clustering-master
- 超级强大的聚类算法+详细的程序说明； Kmeans聚类+ISODATA聚类算法；(Super powerful clustering algorithm + detailed program descr iption; Kmeans clustering +ISODATA clustering algorithm;)