Cluster-computer based incremental and distributed RSOM data-clustering

被引：0

作者：

Xia, Sheng-Ping ^{[1
]}

Liu, Jian-Jun ^{[1
]}

Yuan, Zhen-Tao ^{[1
]}

Yu, Hua ^{[1
]}

Zhang, Le-Feng ^{[1
]}

Yu, Wen-Xian ^{[1
]}

机构：

[1] Key Lab. of Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China

来源：

Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2007年 / 35卷 / 03期

关键词：

Computer systems - Data mining - Parallel algorithms - Parallel processing systems - Pattern recognition - Self organizing maps;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

For large data-set with high dimensionality, of which the numbers of samples and patterns increase dynamically, in order to improve the computing-efficiency, it is necessary to design parallel incremental clustering algorithm. Noticing the nature of the human brain-an incremental studying style, and the hierarchical and distributed structure properties of a RSOM tree, a Cluster-computer system based incremental and distributed parallel algorithm of RSOM tree is proposed. The performance of this method is tested with the large feature data sets which are extracted from a large amount of video pictures.

引用

页码：385 / 391

共 50 条

[31] One-cluster clustering based data description
Chen, Bin
Feng, Ai-Min
Chen, Song-Can
Li, Bin
Jisuanji Xuebao/Chinese Journal of Computers, 2007, 30 (08): : 1325 - 1332
[32] Data Stream Clustering: Introducing Recursively Extendable Aggregation Functions for Incremental Cluster Fusion Processes
Urio-Larrea, A.
Camargo, H.
Lucca, G.
Asmus, T.
Marco-Detchart, C.
Schick, L.
Lopez-Molina, C.
Andreu-Perez, J.
Bustince, H.
Dimuro, G. P.
IEEE TRANSACTIONS ON CYBERNETICS, 2025, 55 (03) : 1421 - 1435
[33] Distributed Clustering via LSH Based Data Partitioning
Bhaskara, Aditya
Wijewardena, Maheshakya
INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80, 2018, 80
[34] Distributed dimensionality reduction of industrial data based on clustering
Zhang, Yongyan
Xie, Guo
Wang, Wenqing
Wang, Xiaofan
Qian, Fucai
Du, Xulong
Du, Jinhua
PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 370 - 374
[35] Incremental Clustering for Human Activity Detection Based on Phone Sensor Data
Yin, Xizhe
Shen, Weiming
Wang, Xianbin
2016 IEEE 20TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2016, : 35 - 40
[36] Incremental clustering algorithm of data stream based on artificial immune network
Yue, Xun
Chi, Zhongxian
Hao, Yanyou
Mo, Hongwei
Yue, Xun
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 4021 - +
[37] An incremental data stream clustering algorithm based on dense units detection
Gao, J
Li, JZ
Zhang, ZG
Tan, PN
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2005, 3518 : 420 - 425
[38] Incremental Clustering for Time Series Data based on an Improved Leader Algorithm
Huynh Thi Thu Thuy
Duong Tuan Anh
Vo Thi Ngoc Chau
2019 IEEE - RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES (RIVF), 2019, : 13 - 18
[39] An Efficient Density Based Incremental Clustering Algorithm in Data Warehousing Environment
Goyal, Navneet
Goyal, Poonam
Venkatramaiah, K.
Deepak, P. C.
Sanoop, P. S.
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS, 2009, : 556 - 560
[40] Incremental clustering algorithm based on representative points and covariance for large data
Li J.
Wu Q.
Li L.
Sun R.
Mu H.
Zhao K.
International Journal of Simulation and Process Modelling, 2023, 20 (02) : 113 - 124

← 1 2 3 4 5 →