K-means clustering

Results: 985



#Item
21Computing / Statistics / Machine learning / Cluster analysis / Data mining / Geostatistics / K-means clustering / Vector quantization / Computer cluster / Reinforcement learning / Consensus clustering

CLUSTERING BEHAVIORS OF SPOKEN DIALOGUE SYSTEMS USERS Senthilkumar Chandramohan 1,3 , Matthieu Geist 1 , Fabrice Lef`evre 3 , Olivier Pietquin 1,2 1 SUPELEC Metz Campus, IMS Research Group (France) 2

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Source URL: www.ilhaire.eu

Language: English - Date: 2012-09-06 04:31:50
22Cluster analysis / Statistics / Image processing / Microscopes / Protein structure / Single particle analysis / Data analysis / Hierarchical clustering / Determining the number of clusters in a data set / Computational statistics / K-means clustering / Transmission electron microscopy

Genome Informatics 11: 151–Clustering and Averaging of Images in Single-Particle Analysis

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Source URL: www.jsbi.org

Language: English - Date: 2001-02-21 03:45:32
23Feature detection / Artificial intelligence / Vision / Cluster analysis / Histogram of oriented gradients / K-means clustering / Statistics / Image segmentation / Feature / Edge detection / Visual descriptor / KadirBrady saliency detector

Multiclass Multimodal Detection and Tracking in Urban Environments Luciano Spinello†, § † Social Rudolph Triebel§

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Source URL: europa.informatik.uni-freiburg.de

Language: English - Date: 2010-08-06 03:43:10
24Artificial intelligence / Statistics / Machine learning / Nonparametric statistics / Statistical classification / Feature detection / Learning / Histogram / Naive Bayes classifier / Outline of object recognition / K-means clustering / Bag-of-words model

¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool

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Source URL: cvg.ethz.ch

Language: English - Date: 2015-12-15 08:50:27
25Machine learning / Computing / Statistics / Internet / Cluster analysis / Data mining / Geostatistics / K-means clustering / Statistical classification / Recommender system / Unsupervised learning / Tor

Profiling Tor Users with Unsupervised Learning Techniques Rafael G´ alvez, Marc Juarez, and Claudia Diaz KU Leuven, ESAT/COSIC and iMinds, Leuven, Belgium {name.surname}@esat.kuleuven.be

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Source URL: securehomes.esat.kuleuven.be

Language: English - Date: 2016-07-19 06:23:33
26Statistics / NAND gate / FO / Mathematics / K-means clustering / K-means++ / Gadget / Cluster analysis / Applied mathematics

The Complexity of the k-means Method∗ Tim Roughgarden1 and Joshua R. Wang2 1 Department of Computer Science, Stanford Univeresity, 474 Gates Building, 353 Serra Mall, Stanford, CA 94305, USA

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Source URL: web.stanford.edu

Language: English - Date: 2016-08-08 16:24:20
27Machine learning / Artificial intelligence / Learning / Multiple instance learning / Support vector machine / Multiple-instance learning / Conference on Computer Vision and Pattern Recognition / Pattern recognition / K-means clustering / Multi-label classification / Statistical classification / Supervised learning

Max-Margin Multiple-Instance Dictionary Learning Xinggang Wang† Baoyuan Wang‡

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Source URL: pages.ucsd.edu

Language: English - Date: 2013-06-24 00:00:30
28Data mining / Statistics / Computational statistics / Cluster analysis / Geostatistics / K-means clustering / Robotics / NP / Algorithm / Applied mathematics

4400 University Drive MS#4A5 Fairfax, VAUSA http://cs.gmu.eduDepartment of Computer Science

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Source URL: cs.gmu.edu

Language: English - Date: 2005-02-21 13:23:30
29Statistics / Applied mathematics / Cognitive science / Cluster analysis / Data mining / Geostatistics / Adaptive resonance theory / Categorization / K-means clustering / Hierarchical clustering / Artificial neural network / Fuzzy clustering

Genome Informatics 11: 251–Gene Expression Analysis Using Fuzzy ART Model Shuta Tomida

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Source URL: www.jsbi.org

Language: English - Date: 2001-02-21 04:10:58
30Tyrosine kinase receptors / Statistics / Cluster analysis / Data analysis / Computational statistics / Hierarchical clustering / Network analysis / Anaplastic lymphoma kinase / K-means clustering / Tyrosine kinase / Dendrogram / Epidermal growth factor receptor

Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways Mark L. Grimes1*, Wan-Jui Lee2, Laurens van der Maaten2, Paul Shannon3 1 Division of Biological Sciences, University of Montana, Missoula, Montana, U

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Source URL: lvdmaaten.github.io

Language: English - Date: 2016-07-16 15:30:43
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