搜索资源列表
stprtool.rar
- 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines,
fcm
- 核聚类算法FCM算法及性能分析,有图片,FCM模糊C均值图象,有窗体-Kernel clustering algorithm FCM algorithm and performance analysis, pictures, FCM fuzzy C means the image has the form
kernel-ica
- 利用KICA实现聚类，里面含有数据集，可以进行测试-clustering with KICA
[matlab]
- 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
fcm
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
595643603713295726
- kfcm，为模糊核聚类算法，用于将低维的数据映射到高维进行分类，是较先进的算法-kfcm, the fuzzy kernel clustering algorithm for low-dimensional data is mapped to high-dimensional classification, is a more advanced algorithms
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
kfcm
- 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
Kernel-based-robust-fuzzy-connectivity-means
- 基于连通核的鲁棒模糊C_均值聚类算法Kernel-based robust fuzzy connectivity means clustering algorithm C_-Kernel-based robust fuzzy connectivity means clustering algorithm C_
Kernel-Function-Clustering-Based-on-Ant-Colony-Al
- Cluster analysis one of the several important tools in modern data analysis, and the clustering can be regarded as an optimization problem. The underlying assumption is that there are natural tendencies of cluster or group structure in the da
Clustering-algorithm
- 本文介绍了支持向量机基于核方法的聚类算法及其应用-This paper introduced the support vector machine based on kernel method for clustering algorithm and its application
Kernelclusringalgorithm
- 本文包含了基于支持向量机的核聚类算法，以及核聚类算法的应用-This article contains a support vector machine based on the kernel clustering algorithm, as well as the kernel clustering algorithm and its application
kfcm
- 模糊核聚类算法的几篇文章还有其matlab的几个程序-Fuzzy kernel clustering algorithm several articles Matlab program
fuzzy-kernal
- 模糊核聚类的应用及改进算法，对需要做故障诊断的人会有帮助-Application and fuzzy kernel clustering algorithm for fault diagnosis needs to be done to help people who have
hieararchical-clustering
- 基于核密度估计的层次聚类算法 -hierarchcial clustering with kernel density estimation
CodeGPCAPDASpectral
- GPCA，核聚类算法，用于快速提取对象特征，被广泛应用于图像处理-GPCA, kernel clustering algorithm used to quickly extract object features, is widely used in image processing
kernel-kmeans
- 实现kernel k-means 聚类，可以处理非线性数据-Implement kernel k-means clustering, can handle nonlinear data
Dynamic-Time-Alignment-K-Means-Kernel-Clustering-
- dynamic time kmean kernel algorithm