Description: R+树的c实现源码，对应文章T. K. Sellis, N. Roussopoulos, C. Faloutsos: The R+-Tree: A Dynamic Index for Multi-Dimensional Objects.-R tree c achieve source code, corresponding article T. K. Sellis, N. Roussopoulos, C. Faloutsos : The R-Tree : A Dynamic Index for Multi-Dimensional Objects . Platform: |
Size: 92160 |
Author:文 |
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Description: 给出了meanshift分割的源代码，包括CPP文件和h文件-given meanshift division of the source code, including CPP paper documents and h Platform: |
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Author:李治国 |
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Description: This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen. Platform: |
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Author: |
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Description: k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件-k-means is a classical clustering algorithm, which is used k-means realize java source code, including test data files Platform: |
Size: 4096 |
Author:尹哲 |
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Description: 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code.-Center drift is a non-supervised clustering algorithm (k-means algorithm with the similar, but more a wider range of applications), can be used for image segmentation, based on the realization of the source Matlab. MedoidShift is a unsupervised clustering algorithm (similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab implementation source code. Platform: |
Size: 36864 |
Author:陈明 |
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Description: k-meansy算法源代码。This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the screen.-k-meansy algorithm source code. This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen. Platform: |
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Author: |
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Description: matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, very good for everyone to download research study Platform: |
Size: 1024 |
Author:亨利 |
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Description: (有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).-(Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different Platform: |
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Author:wjl |
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Description: 用vc＋＋编写的K-Means动态聚类算法源程序，希望能给大家带来方便，谢谢大家的支持！-Using vc++ to prepare the K-Means clustering algorithm dynamic source code, I hope we can bring convenience, Thank you for your support! Platform: |
Size: 216064 |
Author:rambohe |
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Description: 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation Platform: |
Size: 334848 |
Author:zhangyun |
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Description: Cint(C/C++ interpreter, C-int)是一个C++解释器，顾名思义，和GCC、VC等编译器不同，它是解释执行C++代码的。它具有的能力有：
支持 K&R-C, ANSI-C, ANSI-C++
可处理大规模C/C++源码
动态C++
内置的Debugger和Class Browser
Cint可以在不少操作系统上工作
-Cint (C/C++ interpreter, C-int) is a C++ interpreter, by definition, and the GCC, VC and so different from the compiler, which is to explain the implementation of C++ code. It has the ability to: support for K & R-C, ANSI-C, ANSI-C++ can handle a large-scale C/C++ source code dynamic C++ built-in Debugger and Class Browser Cint can be a lot of work on the operating system Platform: |
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Author:hopper |
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Search - k means source code