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Description: 矢量量化聚类程序，c++编写，已调试通过，内附说明文档。-VQ clustering procedure, c preparation, testing, documentation attached.
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Size: 3072 |
Author: 赵姝彦 |
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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: 著名的基因芯片表达数据聚类软件。esein编写-famous expression of the gene chip data clustering software. Esein prepared
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Size: 345088 |
Author: 董骝焕 |
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Description: 这是一个改进的快速实现模糊c-means聚类算法的程序-This is a rapidly improving the fuzzy c-means clustering algorithm procedures
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Size: 27648 |
Author: 郎风华 |
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Description: 层次聚类算法中的cure算法，它利用代表点来达到聚类目的-hierarchical clustering algorithm cure the algorithm, which uses representatives point to achieve clustering purpose
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Size: 43008 |
Author: 林恩 |
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Description: An old source code. It contains C source code for training vector quantization (VQ) codebook. Three algorithms, GVQ [1], LBG [2] and LVQ [3] have been implemented
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Size: 2448384 |
Author: 站长 |
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Description: Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
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Size: 32768 |
Author: 刘明霞 |
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Description: Solaris环境下的数据挖掘算法：birch聚类算法。该算法适用于对大量数据的挖掘。-Solaris environment data mining algorithms : birch clustering algorithm. The algorithm is applicable to the large volume of data mining.
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Size: 1319936 |
Author: npu |
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Description: K-means一个用C++实现的聚类算法
-K-C means to achieve a clustering algorithm
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Size: 5120 |
Author: 杨子 |
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Description: 经典统计方法：k-means聚类分析源程序-classical statistical methods : k-means clustering source
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Size: 3072 |
Author: 张进 |
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Description: K-Means是聚类分析中重要的一种方法，此源码是K-Means聚类分析的C语言实现。-K- Means clustering analysis is the most important way, this source is K- Means clustering analysis of the C language.
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Size: 29696 |
Author: Owen |
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Description: 神经网络源程序代码，有常用的BackProp算法,行程编码算法RCL,动态聚类算法,LVQ(学习矢量量化)算法等等，自己看吧-neural network source code, a common BackProp algorithm, RCL itinerary coding algorithm, dynamic clustering algorithm, LVQ (LVQ) algorithm, etc., and see themselves
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Size: 568320 |
Author: 梁锋 |
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Description: 向量空间模型生成算法
文本挖掘的关键步骤就是对所给文档生成向量空间模型,然后对进行段落聚类-VSM generation algorithm text mining is a key step to the right documents generated by the vector space model, then right for paragraphs Clustering
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Size: 3072 |
Author: 无影 |
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Description: 这是用C++作的K-均值聚类算法，模式识别当面的，希望对大家有所帮助！-C is for the K-means clustering algorithm, pattern recognition face-to-face, we want to help!
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Size: 4096 |
Author: Jesson |
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Description: Andreas Stolcke开发的聚类源码, 版本2.9。聚类方法是层次合并聚类，同时使用了主成份分析转化向量空间。-Andreas Stolcke developed cluster source, version 2.9. Clustering method is the combined level of clustering, while the use of principal component analysis transformation vector space.
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Size: 34816 |
Author: eric |
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Description: 经典的层次聚类算法Birch。在linux下运行通过，可以实现大规模数据的层次聚类。-Classical hierarchical clustering algorithm Birch. In linux run through, you can realize a large-scale data on hierarchical clustering.
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Size: 195584 |
Author: 肖宪 |
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Description: CURE（Clustering Using Representatives）是一种针对大型数据库的高效的聚类算法。基于划分的传统的聚类算法得到的是球状的，相等大小的聚类，对异常数据比较脆弱。CURE采用了用多个点代表一个簇的方法，可以较好的处理以上问题。并且在处理大数据量的时候采用了随机取样，分区的方法，来提高其效率，使得其可以高效的处理大量数据。-CURE (Clustering Using Representatives) is a database for large and efficient clustering algorithm. Based on the breakdown of the traditional clustering algorithm is spherical, equal-sized cluster of abnormal data more vulnerable. CURE adopted by a number of points on behalf of a cluster approach can better deal with these questions. And deal with large amount of data when using the random sampling, area way to improve its efficiency so that it can handle large amounts of data and efficient.
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Size: 21504 |
Author: 肖宪 |
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Description: 经典的基于密度的聚类算法，DBSCAN。适合处理球状数据，对大规模数据支持不好-Classical density-based clustering algorithm, DBSCAN. Suited to deal with spherical data, large-scale data to support the poor
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Size: 6144 |
Author: 肖宪 |
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Description: 使用HMM对基因表达数据进行聚类,来自清华大学2003-use the HMM to clustering gene expression data
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Size: 228352 |
Author: growking |
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