Description: 基于样本和主轴核函数的相似度的动态聚类算法程序-based on samples and nuclear spindle function of the similarity dynamic clustering algorithm procedures Platform: |
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Author:alex |
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Description: 里面有模糊聚类分类方法FCM的代码和数字水印算法LSB的实现代码!-There are fuzzy clustering of FCM classification code and digital watermarking algorithm LSB realization of code! Platform: |
Size: 1024 |
Author:代松 |
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Description: 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-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
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Author:查日东 |
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Description: 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. Platform: |
Size: 1380352 |
Author:大长今 |
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Description: 介绍了一种非常实用的特征提取新方法，针对稀疏核主成分分析方法在特征提取中的不足, 提出了一种基于核K- 均值聚类的稀疏核主成分分析( Sparse KPCA) 的特征提取方法用于说话人识别。-Introduced a very useful new method of feature extraction for Sparse Kernel Principal Component Analysis in Feature Extraction of the lack of a kernel-based K-means clustering of sparse kernel principal component analysis (Sparse KPCA) of the feature extraction methods for speaker recognition. Platform: |
Size: 122880 |
Author:毋桂萍 |
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Description: 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 Platform: |
Size: 1380352 |
Author:wang |
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Description: 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 for data transformation and dimensionality reduction. Kernel ECA reveals structure relating to the Renyi entropy of the input space data set, estimated via a kernel matrix using Parzen windowing. This is achieved by projections onto a subset of entropy preserving kernel principal component analysis (kernel PCA) axes. This subset does not need, in general, to correspond to the top eigenvalues of the kernel matrix, in contrast to the dimensionality reduction using kernel PCA. We show that kernel ECA may produce strikingly different transformed data sets compared to kernel PCA, with a distinct angle-based structure. A new spectral clustering algorithm utilizing this structure is developed with positive results. Furthermore, kernel ECA is shown to be an useful alternative for pattern denoising. Platform: |
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Author:johhnny |
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Description: 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 Platform: |
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Author:盛春冬 |
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Description: 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 classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the
continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO–SVM
data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a
heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the
client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also
achieve high classification accuracy.
# 2007 Elsevier B.V. All rights reserved. Platform: |
Size: 565248 |
Author:alice |
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Description: 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 Platform: |
Size: 402432 |
Author:yu tao |
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Description: 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 data and the goal is to be able to uncover
this structure. In general, traditional clustering
algorithms are suitable to implement clustering only if the
feature differences of data are large.-Cluster analysis is 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 data and the goal is to be able to uncover
this structure. In general, traditional clustering
algorithms are suitable to implement clustering only if the
feature differences of data are large. Platform: |
Size: 247808 |
Author:rishi |
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Description: 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
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Size: 209920 |
Author:sungaoyan |
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Description: 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
Platform: |
Size: 5386240 |
Author:林诺诺 |
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Search - kernel clustering