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将维对分和K均值算法分割图像
- 利用聚类算法分割图像，将维对分法只可将图像分为2部分，可以作为二值化的代码,K-均值法可将图像分为任意多部分。程序直接采用R、G、B三色作为特征参数，聚类中心为随机值，当然也可以采用其他参数，程序编译为EXE文件后速度还可以接受，但尚有改进的余地，那位高手有空修改的话，请给我也发份代码。-clustering algorithm using image segmentation, Victoria right method can only image is divided into two p
K均值
- 本程序通过k均值算法对两类进行分类。通过任意选择初始点，由k均值很快找到两类的中心点-the procedure k means algorithm to classify two types. Through arbitrary choice initial point, k Mean quickly found two focal point
k-means
- 对样本数据进行聚类,使得聚类精确率足够的高，就可以达到聚类效果了(Clustering the sample data, and the clustering precision is high enough to achieve the clustering effect.)
K-means
- 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
self_kmeans
- 自制k-means代码,另外附上几篇我觉得很不错的论文，讲解算法的(Homemade K-means code, and attached several articles I think is very good, explaining algorithm.)
Kmeans
- 机器学习聚类K-means算法，用于无标签数据的聚类(Machine learning clustering K-means algorithm is applied to cluster of unlabeled data.)
20170110_KMeans
- 在花卉数据集上，用Java实现的简单K-means算法。(In flower dataset, a simple K-means algorithm is implemented by Java.)
K—均值聚类提取
- k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
IDL for k_means
- 自己用IDL编写的k-means影像分类程序，已调试，可以直接使用。(Using IDL to write K-means image classification program, has been debugged, can be used directly.)
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
基于 K-means 聚类算法的图像区域分割
- 本程序使用matlab软件，实现了基于K-means聚类算法的图像分割。(Image split based on K-means was done by using Matlab.)
K均值聚类
- K均值聚类算法-对数据进行聚类分析，适合数据处理(k means clustering algorithm)
基于 K-means 聚类算法的图像区域分割
- 基于K-means聚类算法的图像区域分割(Image region segmentation based on K-means clustering algorithm)
k-means算法的Matlab实现以及Iris数据集
- k-means算法实现以及Iris数据集(Implementation of K-means algorithm and Iris data set)
基于粒子群优化的k均值
- 基于粒子群优化的k均值，可以对实验对象进行定性分类(Based on the k-means of particle swarm optimization, the experimental objects can be qualitatively classified)
IDS
- 利用增强型K-means聚类算法实现入侵检测系统模型的设计(Design of Intrusion Detection System Model Using Enhanced K-means Clustering Algorithms)
ABC-K-means
- 基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)
k-means-for-iris
- 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results)
can_use_kmeans
- K-means对iris数据集进行分类，可画出3维分类图(K-means to classify iris data set)
c+=
- k-means c++, 聚类算法-含代码说明。聚类（Cluster）分析是由若干模式（Pattern）组成的，通常，模式是一个度量（Measurement）的向量，或者是多维空间中的一个点。(k-means c++,Partitioning Methods,Hierarchical Methods,density-based methods,grid-based methods,Model-Based Methods)