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An Optimized Version of the K-Means Clustering Algorithm
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Parallel K-Means Clustering Algorithm on DNA Dataset
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Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets
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Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications
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Enhancing the Assessment Environment within a Learning Management Systems
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Accelerating K-Means on the Graphics Processor via CUDA
inferredcites →https://doi.org/10.1109/paap.2011.17openalex-snapshot
A Parallel K-Means Clustering Algorithm with MPI
inferredcites →https://doi.org/10.1109/ssiai.2006.1633722openalex-snapshot
Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm
inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot
An efficient k-means clustering algorithm: analysis and implementation
inferredcites →https://doi.org/10.1109/wcica.2006.1714203openalex-snapshot
The Study of Parallel K-Means Algorithm
inferredcites →https://doi.org/10.1137/1.9781611972764.14openalex-snapshot
K-Means Clustering Over a Large, Dynamic Network
inferredcites →https://doi.org/10.1631/jzus.2006.a1626openalex-snapshot
An efficient enhanced k-means clustering algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Research of K-means Clustering Method Based on DNA Genetic Algorithm and P System
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High Performance based Disease Prediction by RFNN Algorithm
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A K-Means Clustering Algorithm Based on Double Attributes of Objects
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Novel technique for prediction analysis using normalization for an improvement in K-means clustering
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New optimized GPU version of the k-means algorithm for large-sized image segmentation
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Brain Tumor Segmentation and Classification in MRI using Clustering and Kernel-Based SVM
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An Optimizing Algorithm of Non-Linear K-Means Clustering
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Distributed GPU-Based K-Means Algorithm for Data-Intensive Applications: Large-Sized Image Segmentation Case
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Clustering of massive datasets using an Adaptive and efficient K-Means approach
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