搜索资源列表
Ncut_Sprectral_Clustering
- 基于Ncut谱聚类的例子，其中包含了SVM代替k-means的方法进行后续分类。-Example of Ncut spectrum clustering .
Clustering-for-Chinese-Word-
- 这是关于谱聚类在汉字聚类领域应用的文章，谱聚类表现出比k-means更好的聚类效果。-This is the article on the spectral clustering in the field of Chinese characters clustering, spectral clustering performance better than the k-means clustering effect.
NCUT
- 此程序是谱聚类中，经典的Ncut算法。用matlab编写的。-This program is spectrum clustering, classic Ncut algorithm.The program uses matlab。
cluster
- 聚类算法——谱聚类的实现，可以实现不受形状约束的聚类算法-The implementation of the clustering algorithm
spectral_Clustering
- 一种用于聚类分析的谱聚类方法（Matlab版），可以有效，快速的对多维样本数据进行聚类划分-For cluster analysis of spectral clustering methods can be effective, fast multi-dimensional sample data clustering divided
pujulei
- 自适应谱聚类研究的论文，可供科研人员参考-Spectral clustering hasbeenusedto identify clustersthat arenonlinearly separableininput space, andusuallyoutper formstraditional clustering algorithms. However, the performances of spectral clustering are severely dependent o
spectral_cluster
- 谱聚类算法，与传统聚类相比，有任意形状的样本空间上聚类且收敛于全局最优解的优点-Spectral clustering algorithm, compared with the traditional clustering, the sample space of an arbitrary shape clustering and convergence to global optimal solution the advantages of
mdp-q
- 强化学习的谱聚类算法，实现基于图割的状态聚类-Reinforcement Learning spectral clustering algorithm to achieve the state of clustering based on graph cuts
sc
- 针对图像和一般数据的谱聚类方法,可以进行图像分割和验证 -specal clustering
Support-vector-machine-
- 利用谱聚类方法在特 征向量空间中对原始样本数据进行重新表述使得在新表述中同一聚类中的样本能够更好地积聚在一起构建聚类核函数 并进而构造聚类核半监督支持向量机 使样本更好地满足半监督学习必须遵循的聚类假设 -Restated in the new formulation in the same cluster sample be better able to accumulate together to build the clustering of nuclear function and
sc
- 实现SC谱聚类算法，该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量，然后选择合适 的特征向量聚类不同的数据点-Achieve the SC spectral clustering algorithm Firstly, a descr iption of the similarity of paired data points affinity matrix based on the given sample data set definiti
pujulei
- 简单能运行的谱聚类，调用k均值算法，需要自行确定K值-Simple spectral clustering can run, call the k-means algorithm, needs to determine the value of K
SpectralClustering
- 基于谱聚类的新数据聚类算法，可用于一般的时间序列数据聚类及图像分割方面的应用，还包含相应的文章和算法说明。-Executes the spectral clustering algorithm defined by type on the adjacency matrix W and returns the k cluster indicator vectors as columns in C.
SpectralClustering
- 一种快速有效的谱聚类算法，很好的结合谱聚类和kmeans算法。-fast and efficient spectral clustering algorithm
A_Tutorial_on_Spectral_Clustering
- 谱聚类入门级资料，详细介绍相关算法，很有帮助-The spectral clustering entry-level information, detailing the correlation algorithm
Ncut_Sprectral_Clustering
- 介绍了谱聚类的有关算法及程序实现，对新手入门很有帮助-Spectral clustering Algorithm and Program Getting Started helpful
SARchange-detection
- 结合领域差值法和领域比值法结构构造差异图，然后利用直方图谱聚类方法结合k-means进行变化检测-Difference method combined with field difference ratio method and the field structure diagram, and then using the method of spectral clustering histogram combined with k- means for change detection
NJWPKM
- 运用谱聚类——Ncuts和NJW的算法结合kmeans进行了聚类分析-Using spectral clustering- Ncuts and NJW algorithm combining kmeans clustering analyzed
Spectral-Clustering--39
- 程序功能为谱聚类实现系统的分区。给出的是39节点的标准的ieee算例。可以运行，有图形显示。-The program will function as spectral clustering system partition. Given 39-node standard IEEE example. Can run graphical display.
Spectral-Clustering--118
- 基于谱聚类分区的matlab程序实现，可以运行。程序给出的是118标准IEEE算例。结果用图形显示很直观，有需要的可以借鉴。-Matlab program based on spectral clustering partition, you can run. The program gives 118 standard IEEE example. The results are graphically displays very intuitive, need to learn from.