[1]JI Gen-lin,YAO Yao.Densitybased privacy preserving distributed clustering algorithm[J].CAAI Transactions on Intelligent Systems,2009,4(2):137-141.
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Densitybased privacy preserving distributed clustering algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 4 Number of periods: 2009 2 Page number: 137-141 Column: 学术论文—机器学习 Public date: 2009-04-25
Title:
Densitybased privacy preserving distributed clustering algorithm
Author(s):
JI Gen-lin;  YAO Yao
School of Mathematics and Computer Science, Nanjing Normal University, Nanjing 210097, China
Keywords:
privacy preserving; distributed clustering; DBDC; DBPPDC
CLC:
TP311.1
DOI:
-
Abstract:
A densitybased privacy preserving distributed clustering algorithm (DBPPDC) was proposed following the improvements to the densitybased distributed clustering DBDC algorithm. When a global model is determined from a local model, (DBPPDC) effectively protects the local model without obstructing global clustering. On the contrary, when the local model is updated with the global model, DBPPDC makes all the data in local sites cluster safely by improving the previous algorithm and appling a secure protocol. Experimental results showed that DBPPDC is effective and efficient. 
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