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. Platform: |
Size: 4096 |
Author:韩磊 |
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Description: 模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis. Platform: |
Size: 2048 |
Author:也风 |
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Description: k-means聚类算法源码。kmeans是一种常用的分割算法，简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient. Platform: |
Size: 1024 |
Author:熊健 |
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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. Platform: |
Size: 29696 |
Author:Owen |
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Description: 这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane. Platform: |
Size: 214016 |
Author:fun |
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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! Platform: |
Size: 4096 |
Author:Jesson |
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Description: 这个是K-Means动态聚类算法的源程序，需要的请下，请多多指教，谢谢！-This is a K- Means clustering algorithm source, the need to please, please exhibitions, thank you! Platform: |
Size: 32768 |
Author:HaicoLi |
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Description: k-means聚类算法在二维平面上的可视化实现
聚类时可以设置类数和迭代阈值
聚类结果用色彩和类圆清楚的表现出来-k-means clustering algorithm in a two-dimensional plane with the Visualization of clustering can be set up several categories and iterative threshold Clustering results using color and class round clearly demonstrated Platform: |
Size: 45056 |
Author:周黎明 |
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Description: 1. 分层次聚类法（最短距离法）
2. 最简单的聚类方法
3. 最大距离样本
4. K 平均聚类法（距离平方和最小聚类法） -1. Hierarchical clustering method (the shortest distance method) 2. The simplest clustering method 3. The maximum distance the sample 4. K average clustering method (distance from the square and the smallest clustering method) Platform: |
Size: 47104 |
Author:math |
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Description: k－mean算法的源码，对聚类非常有用！！可以直接使用！-k-mean algorithm source of clustering is very useful! ! Can be used directly! Platform: |
Size: 275456 |
Author:谢潇 |
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Search - k-mean clustering