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,
kfcm
- it is a code for kernel-FCM clustering
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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
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_
laplacian_eigen
- 拉普拉斯特征映射，采用热核构造权重，是一种基于流行学习的非线性降维技术，可用于图像分割提高聚类的性能-Laplacian Eigenmap is a kind of nonlinear dimensionality reduction technique which based on manifold study, it choose the weights W using the heat kernel and it can be used for image segmentation to
Machine-Learning-Toolkit-Examples
- labview关于机器学习的案例，来源于NI lab，有多种方法：BP、Kernel PCA、Clustering、svm等等，值得大家学习。-labview on the case of machine learning, from the NI lab, there are a number of ways: BP, the Kernel the PCA, Clustering, svm, etc., is worth learning.
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
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
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
KSCnet_Linux
- Kernel clustering method for network data
Dynamic-Time-Alignment-K-Means-Kernel-Clustering-
- dynamic time kmean kernel algorithm
MKFCM
- Multiple Kernel Fuzzy Clustering
雷达辐射源在线分选程序
- 基于核聚类的雷达信号在线分选程序，比较经典(On-line Radar Signal Sorting Procedure Based on Kernel Clustering)