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采用模糊C均值对数据集data聚为cluster_n类-Using Fuzzy C-Means dataset data gathered for cluster_n classes
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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++
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FCM算法，基本的分类算法，很好用，有例子直接仿照操作。-FCM Data set clustering using fuzzy c-means clustering.
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利用核模糊C均值聚类KFCM算法实现对数据的分类-Nuclear Fuzzy C-Means Clustering KFCM algorithm on data classification
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This program is kind of data classification, namely FCM (Fuzzy C-Means Clustering) algorithmm.
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A COMPARATIVE ANALYSIS BETWEEN K-MEDOIDS AND
FUZZY C-MEANS CLUSTERING ALGORITHMS FOR
STATISTICALLY DISTRIBUTED DATA POINTS
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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
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FCM-S（BCFCM）的matlab实现程序 It's an implementation of the paper of M.N. Ahmed et. al. "A Modified Fuzzy C-Means Algorithm for Bias Field estimation and Segmentation of MRI Data"20002, IEEE Transactions on medical imaging.
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模糊C均值聚类，实现数据聚类算法！来源于网络，经过修改，可用于数据聚类！-Fuzzy C-Means clustering, data clustering algorithm! From the network, without modification, can be used for data clustering!
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采用模糊C均值对数据集进行聚类分析的matlab实现方法 -Using Fuzzy C-Means clustering analysis of data sets of matlab implementation
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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
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程序用matlab实现了模糊c均值聚类问题。将大量数据分成几种类型-Program using matlab realize the fuzzy c-means clustering problem. The large amounts of data into several types of classes
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we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and th
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模糊C均值聚类算法过程，C语言编写，有测试数据-Fuzzy C-means clustering algorithm process, C language, test data
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采用FCM(模糊C均值)算法将数据集data聚为cluster_n类.-Using FCM (Fuzzy C-Means) algorithm dataset data clustered into cluster_n class.
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Data clustering by using Fuzzy c means, where c means number of cluster, m means weight of membership function matrix, X means data input.
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Abstract—This paper proposes a new strategy to meet the controllable
heating, ventilation, and air conditioning (HVAC) load
with a hybrid-renewable generation and energy storage system.
Historical hourly wind speed, solar irradiance, and load d
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采用模糊C均值对数据集进行聚类的matlab代码-Matlab code for data clustering based on fuzzy c-means algorithm
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resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences
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IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。-IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM
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