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1. J-means and I-means for minimum sum-of-squares clustering on networks

作者： Alexey Nikolaev ; Nenad Mladenović ; Raca Todosijević

关键词：Minimum sum ; of ; squares clusteringK ; meansJ ; means ; Heuristic ; Variable neighborhood search

刊名：Optimization Letters

出版年：2017

2. A population-based clustering technique using particle swarm optimization and k-means

作者： Ben Niu ; Qiqi Duan ; Jing Liu ; Lijing Tan ; Yanmin Liu

关键词：Population ; based clustering technique ; Particle swarm optimization (PSO) ; Lloyd’s k ; means

刊名：Natural Computing

出版年：2017

3. K-means clustering analysis and artificial neural network classification of fatigue strain signals

作者： M. F. M. Yunoh ; S. Abdullah ; M. H. M. Saad…

关键词：Artificial neural networkK ; means clustering ; Fatigue damage ; Clustering ; Classification

刊名：Journal of the Brazilian Society of Mechanical Sciences and Engineering

出版年：2017

4. Common lecturers timetabling among departments based on funnel-shape clustering algorithm

作者： Hamed Babaei ; Jaber Karimpour ; Amin Hadidi

关键词：Common lecturer timetabling problem (CLTTP) ; Fuzzy c ; means clustering algorithm ; University course timetabling problem (UCTTP)k ; means clustering algorithm

刊名：Applied Intelligence

出版年：2017

5. Access the cluster tendency by visual methods for robust speech clustering

作者： T. Suneetha Rani ; M. H. M. Krishna Prasad

关键词：Speech clusteringk ; means ; MST ; based clustering ; VAT ; GMM

刊名：International Journal of System Assurance Engineering and Management

出版年：2017

6. Temporally Consistent Tone Mapping of Images and Video Using Optimal K-means Clustering

作者： Magnus Oskarsson

关键词：High dynamic range images ; High dynamic range video ; Clustering ; Dynamic programming

刊名：Journal of Mathematical Imaging and Vision

出版年：2017

7. A two-step artificial bee colony algorithm for clustering

作者： Yugal kumar ; G. Sahoo

关键词：Artificial bee colony ; ClusteringK ; means ; Particle swarm optimization

刊名：Neural Computing and Applications

出版年：2017

8. An unsupervised approach for co-channel speech separation using Hilbert–Huang transform and Fuzzy C-Means clustering

作者： M. K. Prasanna Kumar ; R. Kumaraswamy

关键词：BSS ; SCSS ; Fuzzy C ; Means ; EMD ; IMF ; TFR ; IBM ; HHT

刊名：International Journal of Speech Technology

出版年：2017

9. Improving news articles recommendations via user clustering

作者： Christos Bouras ; Vassilis Tsogkas

关键词：News clusteringk ; meansW ; kmeans ; Cluster labeling ; Partitional clustering ; Collaborative filtering

刊名：International Journal of Machine Learning and Cybernetics

出版年：2017

10. Cloud implementation of the K-means algorithm for hyperspectral image analysis

作者： Juan Mario Haut ; Mercedes Paoletti ; Javier Plaza…

关键词：Hyperspectral imaging ; Cloud computingK ; means clustering

刊名：The Journal of Supercomputing

出版年：2017

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