搜索资源列表
05584771
- Fuzzy Clustering and Relevance Ranking of Web Search Results with Differentiating Cluster Label Generation
fcm-matlab
- matlab开发的FCM（模糊c-均值聚类算法）例程-matlab，cluster，fuzzy c-means，FCM，code
Cluster-Head-Election-Mechanism-Using-Fuzzy-Logic
- learning visual bacsic
fcmfiltwa
- 用类Cluster实现一维数据的模糊C均值聚类，可在VC＋＋和BC++下使用-Class Cluster fuzzy C-means clustering, one-dimensional data can be used in VC++ and BC++
ClusteringToolbox
- The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions: - Clustering algorithms - Evaluation with cluster prototypes - Validation - Visualisation - Example
00997712
- This paper presents a modeling of intelligent sensors based on a representation of the sensor by services it uses or it proposes, and by its User Operating Modes (USOMs). This modeling is used for the definition of the reactive layer of distr
FCM-C
- 模糊C-聚类分析：从随机初始化划分矩阵开始迭代-Fuzzy C-cluster analysis: start from the the random initialization divided matrix iteration
FINAL.c
- This code is clustering in wsn based on fuzzy logic and you can see network life time in this experiment and number of cluster head per round
Fcm
- FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coor
leachchef23
- fuzzy based leach with direct transmission to base is allowed if base station is closed than the cluster head
9552010E202
- This paper presents a new cluster validity index for nding a suitable number of fuzzy clusters with crisp and fuzzy data. The new index, called the ECAS-index, contains exponential compactness and separation measures. These measures indicate ho
Fk-menas
- 基于Hadoop的模糊K-Means算法，在MapReduce框架下编写，经集群测试成功运行。压缩包中包含源码和实验数据-Hadoop-based fuzzy K-Means algorithm, written in the MapReduce framework, through the cluster test run successfully. Compressed package contains the source code and experimental data
fwdfuzzyproject
- comparison betweeen leach and fuzzy protocol in terms of cluster head selection in matlab.
FCMClust
- 模糊C均值聚类（FCM）算法是一种经典的模糊聚类分析方法，但其算法初始聚类中心集是随机选取的，从而造成算法的性能强烈的依赖聚类中心集的初始化。-Fuzzy C-Means clustering (FCM) algorithm is a classical fuzzy clustering analysis method, but the algorithm sets the initial cluster centers are selected randomly, resulting in a
FuzzyRule_Truck
- 运用模糊控制规则及AFS模糊公理集，对系统状态进行状态回归控制- Based on the theory of axiomatic fuzzy set, we summarize the cluster method of fuzzy concept semantic and fuzzy logic operation through imitating the clustering process of human brain. This algorithm
Clustering-Algorithms
- 在众多聚类算法中,基于划分的模糊聚类算法是模式识别中最常用的算法类型之一.至今,文献中仍不断 有关于基于划分的模糊聚类算法的研究成果出现.为了能更为系统和深入地了解这些聚类算法及其性质,本文从改 变度量方式、改变约束条件、在目标函数中引入熵以及考虑对聚类中心进行约束等几个方面,对在 C-均值算法的 基础上得到的基于划分的模糊聚类算法作了综述和评价,对各典型算法的优缺点进行了实验比较分析.指出标准 FCM算法被广泛应用的原因之一是它对数据的比例变化具有鲁棒性,而其他类似的算法对这种
FCMforclarify
- fcm模糊聚类算法，可以完美实现聚类分析，输出聚类中心及模糊矩阵-fcm fuzzy clustering algorithm, can achieve the perfect cluster analysis, the output of the cluster centers and fuzzy matrix
RFCM
- 利用粗糙模糊集聚类(RFCM)思想的聚类方法对UCI数据集中的Wine进行聚类分析。Wine数据集共包含13个属性，其中第一个是决策属性，剩下的是连续型的条件属性，一共包含178个对象。-Fuzzy clustering method using rough clustering (RFCM) thoughts on UCI Wine dataset cluster analysis. Wine data set contains a total of 13 properties, of whi
F_JIDtjl
- 模糊聚类分析动态聚类分析程序，很简单，实用。附带有聚类图程序-Dynamic fuzzy clustering analysis Cluster analysis procedure is very simple and practical. Figure comes with a clustering procedure
fcmMATLAB
- 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终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me