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요약정보
基于夹角几何的I-niceMO增强算法 / I-niceMO Enhanced Algorithm Based on Intersection Angel Geometry
Resource Type
Academic Journal
Authors
何一帆
;
何玉林
;
蔡湧达
;
黄哲学
;
He Yifan
;
He Yulin
;
Cai Yongda
;
Huang Zhexue
Source
系统仿真学报 / Journal of System Simulation
. 35(4):797-808
Subject
自动聚类
I-nice聚类
谱聚类
无监督学习
观测点机制
Language
Chinese
ISSN
1004-731X
Online Access
Scopus
Find it @ DONGA
초록
针对I-niceMO算法在候选聚类中心合并时中心数目难以确定和中心点识别不准确的问题,提出了基于夹角几何的I-niceMO增强(I-niceMOEn)算法.利用观测点与数据点之间的距离和角度分布情况找出数据中尽可能多的候选聚类中心,以避免多类别数据聚类中出现的类别丢失的情况;利用谱聚类算法对候选聚类中心进行聚类,根据拉普拉斯矩阵特征值的大小自动地对候选聚类中心进行合并;根据合并后的聚类中心的数量确定最终的数据聚类类别数.I-niceMOEn算法实现了对数据类别数的自动确定,并且在聚类过程中不需要人为设置参数.实验结果表明:I-niceMOEn算法在收敛的同时能够获得优于传统自动聚类算法和I-niceMO算法的类中心确定表现.
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