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K均值聚类算法源代码-K-means clustering algorithm source code
Update : 2024-04-29 Size : 29696 Publisher : 静子

k均值算法的源代码-k means algorithm source code
Update : 2024-04-29 Size : 2048 Publisher : 刘新华

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.
Update : 2024-04-29 Size : 4096 Publisher : 韩磊

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.
Update : 2024-04-29 Size : 5120 Publisher : 韩磊

DL : 0
python实现K-means聚类算法和DBSCAN算法,都是最简单的聚类(Python implements k-means clustering algorithm and DBSCAN algorithm, which are the simplest clustering)
Update : 2024-04-29 Size : 1024 Publisher : JLjljl

利用K-means对图像进行聚类,识别。您可以设置参数达到更好的识别效果(Using K-means to cluster and identify images.You can set parameters to achieve better recognition results)
Update : 2024-04-29 Size : 342016 Publisher : branden

DL : 0
随机生成1000个二维坐标点并用K-means算法计算聚类结果(1000 two-dimensional coordinate points are generated randomly and the clustering results are calculated by K-means algorithm)
Update : 2024-04-29 Size : 78848 Publisher : Sunxiaoying

k-means聚类算法的代码实现,只需要更改数据就可以实现,而且有注释,很容易懂(The code implementation of the k-means clustering algorithm can be realized only by changing the data, and there are notes that make it easy to understand)
Update : 2024-04-29 Size : 1024 Publisher : leehomgangzai

DL : 0
介绍了k-means 均值聚类,能很好的将离散的点,聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
Update : 2024-04-29 Size : 2048 Publisher : asq109

DL : 0
K-means算法是硬聚类算法,是典型的基于原型的目标函数聚类方法的代表,它是数据点到原型的某种距离作为优化的目标函数,利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度,它是求对应某一初始聚类中心向量V最优分类,使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototype based objective function clustering method. It is the distance from the data point to the prototype as the objective function of the optimization, and the method of using the function to find the extremum is used to get the adjustment rules of the iterative operation. The K-means algorithm takes Euclidean distance as the similarity measure, it is to find the V optimal classification corresponding to an initial cluster center vector, so that the evaluation index J is the smallest. The error square sum criterion function is used as a clustering criterion function.)
Update : 2024-04-29 Size : 1024 Publisher : Daizy7

DL : 0
K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.)
Update : 2024-04-29 Size : 1024 Publisher : invoker`Z

DL : 0
通过python实现了k-means分类。(The python implementation of the K-means classification.)
Update : 2024-04-29 Size : 2048 Publisher : 小侠Joe

用k-meas算法对图片聚类,根据图像的颜色,聚类成若干类(Using k-means algorithom to clustering a picture)
Update : 2024-04-29 Size : 106496 Publisher : lotusLena

DL : 1
k-means算法主程序,已经经过测试,具体参数需要自己调整(K-means algorithm for matlab)
Update : 2024-04-29 Size : 1024 Publisher : 水蒸汽12345

K-MEANS聚类算法实现,方法简单,容易实现(K-MEANS clustering algorithm, simple and easy to implement.)
Update : 2024-04-29 Size : 12288 Publisher : yimingxuhome

DL : 0
k means 聚类算法,适用于供应链,物流,选址等配送中心或需求点的筛选聚类(It applies for the field of supply chain, logistics, hub location to cluster the Dcs or demand points.)
Update : 2024-04-29 Size : 1024 Publisher : yayahei

DL : 0
社区检测,k-means算法,速度快,在一定情况下,效果较好
Update : 2019-09-14 Size : 1392 Publisher : AlipayLogin_2088022691083456

DL : 0
应用K-means聚类算法,实现对iris数据集的分类(Using K-means clustering algorithm to realize the Classification of iris dataset)
Update : 2024-04-29 Size : 8192 Publisher : salleyye

DL : 0
k-means实战,包括一个具体的例子。非常适合初级学习k-means聚类算法的人群(K-means actual combat, including a specific example)
Update : 2024-04-29 Size : 6144 Publisher : 毒箭

DL : 0
k-means算法实现的数据分类,python代码,可直接运行(K-means algorithm to achieve data classification, Python code, can be run directly)
Update : 2024-04-29 Size : 2048 Publisher : jbyjby3
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