搜索资源列表
featuresofmodulationsignals
- 一些核心期刊的调制，识别类的好文章。希望能对大家有点帮助。-some of the core issues of periodicals modulation, the identification of categories of good. The hope is to help you a bit.
MLVQ
- LVQ算法( Learning Vector Quantization，学习矢量量化网络)是一种基于模型（神经网络）的方法，本实验要实现的是对LVQ改进的聚类方法——MLVQ（闫德勤等人提出）。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)-LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based
cinfozipxp
- 一个在MFC环境中使用的 InfoZip打包类，InfoZip是一个功能强大的免费ZIP/UNZIP库。为了方便它的使用，在此介绍一个InfoZip的打包类CInfoZip，这个类本身并不实现压缩功能，只是提供一个易于使用的InfoZip DLLs接口（包含在CInfoZip中）。CInfoZip类的使用方法请参见相关文章-an environment in the use of packaged InfoZip category, InfoZip is a powerful free ZIP
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
multiclass
- 很多关于svm多类分类的文章，国内国外都有 都是经常被引用的文章-svm multiclass
legclust
- legclust 聚类算法 IEEE TPAMI上的文章 首先建立邻近矩阵 然后基于图的连通分量的层次聚类-clustering J.M. Santos et al., LEGClust—a clustering algorithm based on layered entropic subgraphs, IEEE TPAMI, Vol.30, NO.1, 2008, 1-13
antcolonyalgorithm
- 蚁群算法LF解决聚类问题,程序文章比较全面，已测试-LF ant colony algorithm to solve clustering problems, the article is more comprehensive program has been tested! ! !
lunwenji
- 如题，是层次聚类法的相关优秀论文集，里面有多个文章-Such as the title, is the outstanding level of clustering related proceedings, there are several articles
ClusteringToolbox1p0_Trail
- 聚类分析Matlab工具箱 Version1.0 Clustering Analysis Matlab Toolbox - Trial Version 1.0 ------------------------------------------------------------------------------ 1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析: ...\KMeans\Main_KMeans.m 标准 K-M
基于聚类的双说话人混合语音分离
- 是一篇很棒的说话人分离的文章，很适合初学者(It's a great speaker separated article, very suitable for beginners)
xcluster-master
- SIGKDD2017上的文章，该算法适合数据集类簇数和数据条目都比较大的情况，聚类效率高(It is suitable for large number of data categories and data items, and the efficiency of clustering is high)
KFCM
- 该代码是对文章Kernel-based fuzzy and possibilistic c-means clustering的实现(the code of Kernel-based fuzzy and possibilistic c-means clustering)
FCM_S
- 该代码是对文章A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data算法的实现(the code of A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data)
KFCM_S
- 在文章A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data中加入了核估计算法(the modified code of A Modified Fuzzy C-Means Algorithm for Bias Field Estimation and Segmentation of MRI Data)
ENFCM
- 文章MR Brain Image Segmentation Using an Enhanced Fuzzy C-Means Algorithm的代码实现(the code of MR Brain Image Segmentation Using an Enhanced Fuzzy (:-Means Algorithm)
FCM_S1 and FCM_S2
- 文章Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure的代码实现(the code of Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure)
demo
- 文章Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation的代码实现(the code of Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation)
FLICM
- 文章A Robust Fuzzy Local Information C-means Clustering Algorithm的代码实现(the code of A Robust Fuzzy Local Information C-means Clustering Algorithm)
TIP2012Gong
- 文章Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering的diamante实现(the code of Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering)
TIP2013Gong
- 文章Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation的代码实现(the code of Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation)