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k均值聚类算法源代码
- K均值聚类算法源代码-K-means clustering algorithm source code
k均值聚类算法
- k均值算法的源代码-k means algorithm source code
kmeans_cluster聚类算法的实现
- 数据挖掘中k-means聚类算法的实现源代码-clustering algorithm source code in data mining
K－均值聚类算法C++编程
- 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 pr
kmeans聚类算法源码
- k均值聚类算法源码，比较经典，无解压密码-kmeans clustering algorithm source code,comparatively classical,no password for unzip
对k-means聚类算法的改进
- K均值算法的一个改进算法，简单实用，但是有点简单。-K-means algorithm of an improved algorithm is simple and practical, but a bit simple.
fuzzy_k_means
- 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
K－Means聚类
- 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.
KMeansV
- 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 Clusterin
K-Means
- K均值聚类算法 C++实现的K均值聚类算法。-K means clustering algorithm C++ Achieved K-means clustering algorithm.
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)
K-means聚类
- K-means聚类程序，可用于聚类问题，自动产生大量数据，生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images)
k-means
- 实现k-means聚类算法，里面有数据可以作为测试(This file is use to achieve k-means clustering algorithm.There are data can be used as a test.)
K-means&DBSCAN
- 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)
k-means聚类算法
- 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)
k-means聚类算法
- 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.)
聚类算法
- 文件夹中主要有二维的K-means，gmm，mean-shift，三维的K-means聚类算法的程序，同时已经经过本人验证无误，可以成功运行，有问题的可以私下交流。(Folder mainly two-dimensional k-means, GMM, mean-shift, three-dimensional k-means clustering algorithm procedures, at the same time has b
K-means聚类
- 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)
k-means
- 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)
PCA-K
- 该算法主要包含PCA算法和K-Means聚类算法，用于SAR变化检测,包含数据图片。(The algorithm mainly includes PCA algorithm and K-means clustering algorithm for SAR change detection, including data images.)