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# Parallel Fuzzy c-Means Clustering for Large Data Sets

@inproceedings{Kwok2002ParallelFC, title={Parallel Fuzzy c-Means Clustering for Large Data Sets}, author={Terence Kwok and Kate Smith-Miles and Sebasti{\'a}n Lozano and David Taniar}, booktitle={Euro-Par}, year={2002} }

- Published 2002 in Euro-Par
DOI:10.1007/3-540-45706-2_48

The parallel fuzzy c-means (PFCM) algorithm for clustering large data sets is proposed in this paper. The proposed algorithm is designed to run on parallel computers of the Single Program Multiple Data (SPMD) model type with the Message Passing Interface (MPI). A comparison is made between PFCM and an existing parallel k-means (PKM) algorithm in terms of their parallelisation capability and scalability. In an implementation of PFCM to cluster a large data set from an insurance company, the… CONTINUE READING

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