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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.
改进的K-Means算法实现车牌字符的分割
- 本实验基于K-Means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以K取7。另外本实验对K-Means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。
fastapcluster.zip
- 改进的邻近聚类方法，比k-means 和模糊c均值聚类好
k-means-segamen-method
- 本实验基于K-Means聚类算法思想实现了字符分割，因为车牌规定是7位的，所以K取7。另外本实验对K-Means算法进行了改进，充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。-In this study, K-Means clustering algorithm based on the ideology of the character segmentation, because the license plate require
kmeans
- 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function
KMEANS
- 使用一种改进的k均值进行图像处理，方便使用-The use of a k-means for improved image processing, user-friendly
K-means
- 通过对聚类分析及其算法的论述，从多个方面对这些算法性能进行比较，同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K－means算法来进一步阐述聚类分析在数据挖掘中的实践应用。-Through cluster analysis and discussion of algorithms, from a number of aspects of the performance of these algorithms compared to growth and development of
a
- 该代码是聚类算法的一种改进，是基于微粒群算法的k-means聚类算法-PSO based k-means clustering algorithm
192010k-average
- kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can impro
k-means
- 用c程序和matlab分别试验一种k-means改进算法，按照方法选取聚类中心点，事实证明，这种改进是有效的。-Matlab with c procedures and were experimenting with an improved k-means algorithm, in accordance with the method of selecting cluster center, the facts show that this improvement is effective.
K_MeansAlgo
- 改进的K-Means算法，通过改进传统K-Means算法，剔除远离中心均值的离散点，加快算法的收敛速度。-Improved K-Means algorithm, by improving the traditional K-Means algorithm, removing the mean of discrete points away from the center to accelerate the convergence speed.
k-means
- 本文详细地介绍了k-means算法和一种改进的K-means算法，即基于成对约束的Cop-kmeans算法。该算法结合了Must-Link和Cannot-Link约束，数据对象在这两类约束的“监督”下进行划分。-This paper introduces the k-means algorithm and an improved K-means algorithm, which is based on pairwise constraints Cop-kmeans algorithm. The
K-means-althogrim
- K-Means算法的并行化研究，划分聚类的算法，K-Means算法及改进算法。并行策略，PVM系统简介。-Parallel K-Means algorithm research, by clustering algorithm, K-Means algorithm and improved algorithm. Parallel strategy, PVM Introduction.
e4k-means-althogrim
- 基于K—Means的中文文本聚类算法的研究和实现。中文文本聚类的主要技术，特征选择，共享最近邻的K-Means的改进算法。基于k-Means的实现和实验。-Based on the Chinese version of K-Means clustering algorithm and implementation. The main technology of Chinese Text Clustering, feature selection, shared nearest neighbor
K-means-clustering-experiments
- 经过一周的深入学习和参考本站的资料，对K均值进行了改进。可以针对简单的二维的矩阵进行任意中心个数的聚类，并且能够生成图像。-K-means clustering experiments
k-means-
- 这个文档提供了几种k-means算法的改进流程图与思路-This document provides an improvement of several k-means algorithm flowchart and ideas
Ikmeanssm
- 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means clustering instance, energy-efficient weighted minority class and majority class of functions
X-means
- 对K-means聚类算法的改进X-means算法。针对K值如何设定的问题，利用BIC准则判断聚类点数量。同时附有两个初始聚类点的选择程序，自己选吧。(The improved X-means algorithm for K-means clustering algorithm. In view of the problem of how to set the K value, the number of clustering points is judged by the BIC criteri
EWKM
- 针对于高维稀疏的子空间数据，并进行了加权熵处理(Aiming at the high-dimensional sparse subspace data, weighted entropy processing is carried out.)
改进的基于划分算法的三维点云聚类matlab实现
- 根据网上基于划分法k-means的聚类算法，我做了改进。可以预设一个最大的类数和一个半径，自动划分合适的类。最终将随机三维点云聚类完成后显示为不同颜色。(According to the clustering algorithm based on partition K-means on the Internet, I improved it. A maximum number of classes and a radius can be preset to automatically divi