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Description: 本程序是基于vc++实现K-Mean聚类
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Size: 65256 |
Author: qdhcuggis |
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Description: 对图像进行K均值聚类的程序
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Size: 179761 |
Author: gunner |
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Description: K-MEANS算法实现
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Size: 182302 |
Author: tlf577@qq.com |
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Description: 汽车制动盘摩擦生热分析ls-dyna程序k文件！
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Size: 119550 |
Author: xy1436 |
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Description: 该算法实现了k-meann算法，该算法实现了k-meann算法。
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Size: 1202 |
Author: whwsn6688 |
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Description: 本实验基于K-Means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以K取7。另外本实验对K-Means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。
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Size: 1373624 |
Author: hellosn |
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Description: 用K-distribution来描述海杂波时间序列
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Size: 1760 |
Author: sufang@lsec.cc.ac.cn |
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Description: 用K分布生成海杂波序列
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Size: 1760 |
Author: sufang0215 |
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Description: K-means算法 机器学习
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Size: 209690 |
Author: taokelu@126.com |
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Description: k平均聚类算法，实现聚类的图形显示-k average clustering algorithm to achieve the cluster graphics
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Size: 51200 |
Author: 齐玉祥 |
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Description: K均值聚类算法源代码-K-means clustering algorithm source code
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Size: 29696 |
Author: 静子 |
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Description: c++编写的模式识别k均值算法-c k prepared by the average pattern recognition algorithm
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Size: 1024 |
Author: 李俊 |
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Description: 用c语言编写的k均值算法-prepared by the k-means Algorithm
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Size: 2048 |
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Description: k均值算法的源代码-k means algorithm source code
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Size: 2048 |
Author: 刘新华 |
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Description: 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.
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Size: 30720 |
Author: 刘思 |
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Description: 空间数据库中空间数据结构的应用，K-d树基本操作的源码，都在这个文档中。-spatial database structure of the data space applications, K-d trees basic operation of the source code in the documents.
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Size: 6144 |
Author: 周琳 |
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Description: K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.
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Size: 4096 |
Author: 韩磊 |
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Description: 由于K－均值聚类算法局部最优的特点，而模拟退火算法理论上具有全局最优的特点。因此，用模拟退火算法对聚类进行了改进。20组聚类仿真表明，平均每次对K结果值改进8次左右，效果显著。下一步工作：实际上在高温区随机生成邻域是个组合爆炸问题（见本人上载软件‘k－均值聚类算法’所述），高温跳出局部解的概率几乎为0，因此正考虑采用凸包约束进行模拟聚类，相关工作正在进行。很快将奉献给各位朋友。-as K-means clustering algorithm for optimal local characteristics, and simulated annealing algorithm theory with the characteristics of the global optimum. Thus, simulated annealing algorithm for clustering improvements. Cluster Group of 20 simulations show that the average value of K results improved about eight times, the results are obvious. The next step : In fact, in high temperature generated random neighborhood is a combination of explosives (see my software on the 'k-means clustering algorithm' mentioned above), high-temperature solution of partial out almost zero probability, it is considering the use of convex hull bound for simulation cluster, the work under way . Soon dedication to the ladies.
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Size: 5120 |
Author: 韩磊 |
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Description: 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
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Size: 1024 |
Author: 方巍巍 |
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