Privacy Preserving Two-Party Hierarchical Clustering Over Vertically Partitioned Dataset

ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.net/journal/jsea
E-mail: [email protected]

Citations

"Privacy Preserving Two-Party Hierarchical Clustering Over Vertically Partitioned Dataset"
written by Animesh Tripathy, Ipsa De,
published by Journal of Software Engineering and Applications, Vol.6 No.5B, 2013

has been cited by the following article(s):

[1]	Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments
	IEEE Transactions on Big Data, 2024

[2]	Private Hierarchical Clustering and Efficient Approximation
	Proceedings of the 2021 …, 2021

[3]	Grouping of Distributed Data at Multiple Sites by Sustaining the Privacy of Data
	2020

[4]	Secure model for clustering distributed data
	2017

[5]	A Secure Two Party Hierarchical Clustering Approach for Vertically Partitioned Data Set with Accuracy Measure
	Recent Advances in Intelligent Informatics, 2014

[1]	Parallelly Running and Privacy-Preserving Agglomerative Hierarchical Clustering in Outsourced Cloud Computing Environments IEEE Transactions on Big Data, 2025 DOI:10.1109/TBDATA.2024.3403375

[2]	Private Hierarchical Clustering and Efficient Approximation Proceedings of the 2021 on Cloud Computing Security Workshop, 2021 DOI:10.1145/3474123.3486760

[3]	Recent Advances in Intelligent Informatics Advances in Intelligent Systems and Computing, 2014 DOI:10.1007/978-3-319-01778-5_16

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