搜索资源列表
FCM
- fuzzy cluster method by c#
Studies-on-Fuzzy-C-Means-Based-on-Ant-Colony-Algo
- A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl
mhjl_a
- 模糊聚类分析，闭包，模糊聚类分析的源代码。，可能寻找闭包。-fuzzy cluster
code-(2)
- Cluster head selection using two level Fuzzy logic
Fuzzy-neural1
- 首先要对样本进行聚类分析，以此来确定模糊规则个数。利用K-means法对样本聚类。-First cluster analysis of samples, in order to determine the number of fuzzy rules. Method using K-means clustering of the sample.
OSTU
- Otsu-最大类间方差matlab代码 通过求模板和子图像的互相关函数的最大值来确定目标的中心位置；再在目标的感兴趣区域内（ROI）进行基于最大类间方差（OSTU）算法的自适应阈值分割，以检出并统计缺陷；进而判别其合格与否。 -the Ostu method is much faster and more efficient than the fuzzy cluster method.
fuzzy
- cluster head election using fuzzy logic
two-fuzzy-sets
- cluster head selection using two fuzzy sets
cluster-toolbox
- 聚类工具箱,可以实现k-means，fuzzy c-means，agglomerative (hierarchical) clustering等聚类-cluster toolbox
CLUSTER
- 模糊聚类分析程序，用于对各种数据进行分类-Fuzzy clustering analysis procedures for a variety of data classification
cluster-analysis
- 进行模糊C均值聚类,读取数据，并进行标准化变换-Fuzzy C-means clustering, data is read and converted to standardize
fuzzy_cluster_knn
- 基于模糊聚类KNN的室内WLAN算法研究 源代码 使用matlab实现-indoor WLAN location based on fuzzy cluster KNN algorithm
all-of-Cluster
- 大多数经典聚类分析算法的matlab实现，包括K均值、模糊聚类（FCM）、SOM、Kohonen、EM、DBSCAN、等！-ON划词翻译ON实时翻译 Most of the classical clustering algorithm matlab implementation, including K means, fuzzy clustering (FCM), SOM, Kohonen, EM, DBSCAN, etc.!
Improved-Fuzzy-Clustering
- 模糊聚类的改进--先用减法聚类得到初始点，而后用模糊聚类得到聚类中心，能够提高聚类的速度和精度-Improved Fuzzy Clustering- first get the initial point subtraction clustering, and then get the cluster center with fuzzy clustering, clustering can improve the speed and accuracy
PIM-fuzzy-c-means
- Partition index is a measure ofvalidity similar to partition coeGcient, based on using Pj = ci=1 (uij)m as a measure ofhow well the jth data point has been classi- 2ed. The closer a pixel is to a codebook entry, the closer Pj is to one. Ifa
changyongsuanfa
- 三个常用的算法模型，分别是模糊聚类分析法，灰色模型预测法和主成成分分析法-Model three commonly used algorithms, which are fuzzy cluster analysis, gray model and principal components analysis into
cluster
- 本程序介绍了聚类分析的各种算法，包括层次、动态、模糊和遗传算法，对数值进行模式识别。-This procedure describes the various clustering algorithms, including the level of dynamic, fuzzy and genetic algorithms, pattern recognition value.
F_JIDtjl
- 模糊聚类分析动态聚类图，R模糊相似矩阵求传递闭包-Fuzzy cluster analysis of dynamic clustering diagram, R fuzzy similar matrix transitive closure of
fuzzy-c
- 模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
fuzzy-K-means
- fuzzy-K-means聚类算法源代码，常用于模糊聚类分析，算法能取得较好性能，简单有效,应用范围广-the fuzzy-K-means cluster program which can achieve good performance