CLUSTERING
共 113 篇文章
CLUSTERING 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 113 篇文章，持续更新中。
gmeans-- Clustering with first variation and splitting 文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,K
gmeans-- Clustering with first variation and splitting
文本聚类算法Gmeans ,使用了3种相似度函数,cosine,euclidean ,KL.文本数据使用的是稀疏矩阵形式.
统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1
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 cluster
Jboss官方的关于群集介绍的付费书籍,其中包括HA-JNDI,clustering EJB,Http session clustering及Farming等内容
Jboss官方的关于群集介绍的付费书籍,其中包括HA-JNDI,clustering EJB,Http session clustering及Farming等内容
DGCL （An Efficient Density and Grid Based Clustering Algorithm for Large Spatial Database）的实现代码
DGCL （An Efficient Density and Grid Based Clustering Algorithm for Large Spatial Database）的实现代码，费了很长时间才实现的
Data Clustering with Normalized Cuts
Data Clustering with Normalized Cuts
The Fuzzy Logic Toolbox™ product extends the MATLAB® technical computing environment with
The Fuzzy Logic Toolbox™ product extends the MATLAB® technical computing environment with tools for designing systems based on fuzzy logic. Graphical user interfaces (GUIs) guide you throug
kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in a
kmeans算法实现
a simple k-means clustering routine.
returns the cluster labels of the data points in an array.
DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇
DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the "n
一个增量文本聚类的算法。 参考文献： Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Cl
一个增量文本聚类的算法。
参考文献：
Wai-chiu Wong, Ada Wai-chee Fu, Incremental Document Clustering for Web Page Classification.
Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize (cluster)
Carrot2 is an Open Source Search Results Clustering Engine. It can automatically organize (cluster) search results into thematic categories.
this doc is the best way to recognise the methods of clustering
this doc is the best way to recognise the methods of clustering
kmeans clustering in matlab
kmeans clustering in matlab
isodata image clustering matlab code
isodata image clustering matlab code
mean shift clustering file
mean shift clustering file
clustering data for the different techniques of data mining
clustering data for the different techniques of data mining
MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectr
MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectra (having similar m/z values ?within a given tolerance), and creates a single consensus spectrum as
LEGClust算法更新
LEGClust算法更新，上次上传的代码发现有些问题，现已更正，A Clustering Algorithm Based on Layered Entropic Subgraphs
a documentation describes clustering data mining, Survey of Clustering Data Mining Techniques from P
a documentation describes clustering data mining, Survey of Clustering Data Mining Techniques from Pavel Berkhin
Accrue Software, Inc.
An Efficient and Effective Detailed Placement Algorithm Global Swap  To identify a pair
An Efficient and Effective Detailed Placement Algorithm
Global Swap
 To identify a pair of cells that can be swapped to reduce wirelength (others are fixed).
2. Vertical Swap
 S
基于支持向量聚类的多聚焦图像融合算法. 从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于 SVM(support vecto
基于支持向量聚类的多聚焦图像融合算法.
从无监督机器学习角度提出了一种基于SVC(support vector clustering)的图像融合规则,解决了基于
SVM(support vector machine)的融合规则在处理多聚焦图像融合问题时所引起的区域混叠与非平滑过渡问题,进一步提高了融合图像的质量.