首页> 外文会议>Computer vision systems >Rek-Means: A k-Means Based Clustering Algorithm

【24h】

Rek-Means: A k-Means Based Clustering Algorithm

机译：Rek-Means：基于k-Means的聚类算法

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper we present a new clustering method based on k-means that has been implemented on a video surveillance system. Rek-means does not require to specify in advance the number of clusters to search for and is more precise than k-means in clustering data coming from multiple Gaussian distributions with different co-variances, while maintaining real-time performance. Experiments on real and synthetic datasets are presented to measure the effectiveness and the performance of the proposed method.

机译：在本文中，我们提出了一种基于k均值的新聚类方法，该方法已在视频监控系统上实现。 Rek-means不需要预先指定要搜索的聚类数，并且在保持实时性能的同时，在来自多个具有不同协方差的多个高斯分布的聚类数据中比k-means更精确。提出了对真实数据集和合成数据集的实验，以衡量该方法的有效性和性能。

著录项

来源
《Computer vision systems》|2008年|P.109-118|共10页
会议地点 Santorini(GR);Santorini(GR)
作者
Domenico Daniele Bloisi; Luca Iocchi;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类电子模拟计算机（连续作用电子计算机）;
关键词
data clustering; k-means; image segmentation;

机译：数据聚类； k均值；图像分割;

相似文献

外文文献
中文文献
专利

1. MLK-Means - A Hybrid Machine Learning based K-Means Clustering Algorithms for Document Clustering [J] . P. PERUMAL, R. NEDUNCHEZHIAN WSEAS Transactions on Information Science and Applications . 2012,第7a9期

机译：MLK-Means-用于文档聚类的基于混合机器学习的K-Means聚类算法
2. Efficient algorithms based on the k-means and Chaotic League Championship Algorithm for numeric, categorical, and mixed-type data clustering [J] . Wangchamhan Tanachapong, Chiewchanwattana Sirapat, Sunat Khamron Expert Systems with Application . 2017,第deca30期

机译：基于k均值和混沌联赛冠军算法的高效算法，用于数字，分类和混合类型的数据聚类
3. Evaluation Of Fuzzy K-Means And K-Means Clustering Algorithms In Intrusion Detection Systems [J] . Farhad Soleimanian Gharehchopogh, Neda Jabbari, Zeinab Ghaffari Azar International Journal of Scientific & Technology Research . 2012,第11期

机译：入侵检测系统中模糊K-均值和K-均值聚类算法的评估
4. Rek-Means: A k-Means Based Clustering Algorithm [C] . Domenico Daniele Bloisi, Luca Iocchi International Conference on Computer Vision Systems . 2008

机译：REK-MEAL：基于K均值的聚类算法
5. A K-means based watershed imaging segmentation algorithm for banana cluster quality inspection. [D] . Castillo Cepin, Gregorio Alfonso. 2016

机译：基于K均值的分水岭成像分割算法用于香蕉簇质量检测。
6. Does Determination of Initial Cluster Centroids Improve the Performance of K-Means Clustering Algorithm? Comparison of Three Hybrid Methods by Genetic Algorithm Minimum Spanning Tree and Hierarchical Clustering in an Applied Study [O] . Saeedeh Pourahmad, Atefeh Basirat, Amir Rahimi, 2020

机译：初始簇质心的确定是否提高了K-Means聚类算法的性能？应用研究中遗传算法最小生成树和分层聚类的三种混合方法的比较
7. Rek-means A k-means Based Clustering Algorithm [O] . Domenico Daniele Bloisi, Luca Iocchi 2009

机译：Rek-means一种基于k-means的聚类算法

Rek-Means: A k-Means Based Clustering Algorithm

摘要

著录项

相似文献

相关主题

期刊订阅