A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Distributed clustering using collective principal component analysis
Knowledge and Information Systems
Collective, Hierarchical Clustering from Distributed, Heterogeneous Data
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Privacy-preserving Distributed Clustering using Generative Models
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
An architecture for information retrieval over semi-collaborating Peer-to-Peer networks
Proceedings of the 2004 ACM symposium on Applied computing
One torus to rule them all: multi-dimensional queries in P2P systems
Proceedings of the 7th International Workshop on the Web and Databases: colocated with ACM SIGMOD/PODS 2004
Single-pass clustering for peer-to-peer information retrieval: the effect of document ordering
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
PENS: an algorithm for density-based clustering in peer-to-peer systems
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
Privacy-preserving agent-based distributed data clustering
Web Intelligence and Agent Systems
A Graph-Theoretic Approach to Nonparametric Cluster Analysis
IEEE Transactions on Computers
Multidimensional Range Query and Load Balancing in Wireless Ad Hoc and Sensor Networks
P2P '08 Proceedings of the 2008 Eighth International Conference on Peer-to-Peer Computing
Distributed clustering based on sampling local density estimates
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Agents and peer-to-peer computing: a promising combination of paradigms
AP2PC'02 Proceedings of the 1st international conference on Agents and peer-to-peer computing
AP2PC'03 Proceedings of the Second international conference on Agents and Peer-to-Peer Computing
Association rule mining in peer-to-peer systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Journal of Network and Computer Applications
Peer-to-peer data mining classifiers for decentralized detection of network attacks
ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137
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Several algorithms have been recently developed for distributed data clustering, which are applied when data cannot be concentrated on a single machine, for instance because of privacy reasons or due to network bandwidth limitations, or because of the huge amount of distributed data. Deployed and research Peer-to-Peer systems have proven to be able to manage very large databases made up by thousands of personal computers resulting in a concrete solutions for the forthcoming new distributed database systems to be used in large grid computing networks and in clustering database management systems. Current distributed data clustering algorithms cannot be applied to such kind of networks because they expect data be organized according to traditional distributed database management systems where the distribution of the relational schema is planned a-priori in the design phase. In this paper we describe methods to cluster distributed data across peer-to-peer networks without requiring any costly reorganization of data, which would be infeasible in such a large and dynamic overlay networks, and without reducing their performance in message routing and query processing. We compare the data clustering quality and efficiency of three multi-dimensional peer-to-peer systems according to two well-known clustering techniques.