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An analysis of MapReduce efficiency in document clustering using parallel K-means algorithm
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Top 10 algorithms in data mining
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High performance data clustering: a comparative analysis of performance for GPU, RASC, MPI, and OpenMP implementations
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Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering
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The global k-means clustering algorithm
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Improvement and parallelism of k-means clustering algorithm
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Document Clustering Using K-Means, Heuristic K-Means and Fuzzy C-Means
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Accelerating K-Means clustering with parallel implementations and GPU computing
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An evaluation of MapReduce framework in cluster analysis
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Parallel Clustering Algorithm for Large Data Sets with Applications in Bioinformatics
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A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
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An efficient k-means clustering algorithm: analysis and implementation
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Proceedings of the twenty-second annual symposium on Computational geometry
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A fast k-means implementation using coresets
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Distributed data clustering can be efficient and exact
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Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems
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A Parallel Clustering Algorithm with MPI – MKmeans
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Document Clustering using K-Means and K-Medoids
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Document Clustering: A Detailed Review
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k-means++: the advantages of careful seeding
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