搜索资源列表
FCM
- 模糊C均值（FCM）聚类算法的实现 对模糊C均值算法的详细分析，包含具体实现步骤，实现流程图等，非常好用-Fuzzy C-means (FCM) clustering algorithm implementation A detailed analysis of the fuzzy C-means algorithm, including the specific implementation steps, the flow chart, very handy
KFCMPLS
- These papers are several hybrid methods based on integration of KFCM (kernel-based fuzzy c-means) and level set.
matlab
- 基于图像内容检索的模糊c均值聚类，在matalb中的实现-Realization of fuzzy c-means clustering, based on image content retrieval in matalb
FCM-for-EEG
- 模糊C均值脑电分类并使用了支持向量机对比，其中支持向量机使用了三种方法参数寻优。-fuzzy C means clustering for EEG classification，and use the SVM for campare. The SVM applied three methods to find the optimal apartments.
Data-Classification-and-Recognition
- 提出一种基于模糊C 均值的支持向量机分类算法，通过模糊C 均值算法对未知类别数据 进行划分，然后再利用支持向量行对划分后的数据机进训练。解决了以往人们应用支持向量机进行 数据分类识别前必须采用已知类别的数据对支持向量机进行训练的弊端，提高了数据分类的效率。-Support vector machines classification algorithm is proposed based on Fuzzy C-Means, Fuzzy C-Means algorithm unknown
3Vol27No1
- A COMPARATIVE ANALYSIS BETWEEN K-MEDOIDS AND FUZZY C-MEANS CLUSTERING ALGORITHMS FOR STATISTICALLY DISTRIBUTED DATA POINTS
FCM
- 模糊C均值聚类用于复杂系统建模仿真，通过模型进行预测控制- Fuzzy c-means clustering for complex system modeling and simulation, through the model predictive control
1
- 基于人工鱼群算法和模糊C_均值聚类的洪水分类方法-Based on artificial fish-means clustering algorithm and fuzzy C_ flood classification
yang-n-59-bias-correction
- A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction
IJSRON1201344
- Generalized Spatial Kernel based Fuzzy C-Means Clustering Algorithm for Image Segmentation
296-995-1-PB
- IMAGE SEGMENTATION BY FUZZY C-MEANS CLUSTERING ALGORITHM WITH A NOVEL PENALTY TERM
9656565
- 一种新的基于遗传算法的模糊C-均值聚类的RBF神经网络-A New RBF Neural Network with GA-based Fuzzy C-Means Clustering Algorithm for SINS Fault Diagnosis
A-Possibilistic-Fuzzy-c-Means
- 数据挖掘的英文文章，对模糊C聚类方法进行了介绍，可以有效的理解外国数据挖掘的趋势。-The English articles of data mining, abroad and the development trend of data mining
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
Ensemble-Classifier-for-Concept-Drift-Data-Stream
- In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient
oriFCMimg
- fuzzy c means segmentation code for segmenting images.
FuzzyC
- Fuzzy clustering methods including subtractive and Fuzzy C-means and comparing them to Kmeans clustering method
ART04
- This paper corresponds to a review of newest sound synthesis techniques and contains the development of an automatic tuning system based on a fuzzy logic controller intended to emulate the human expertise in this field.The idea of “tuning” a synthesi
FCM-using-MRF-code
- implementation of Fuzzy C Means clustering with Markov Random Field
vector_quan
- A Vector Quantization Technique for Image Compression using Modified Fuzzy Possibilistic C-Means with Weighted Mahalanobis Distance -A Vector Quantization Technique for Image Compression using Modified Fuzzy Possibilistic C-Means with Weighted Mahal