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K-means clustering
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#	Item
561	Improved ’Nowcasting’ of Residential PV Generation Using Clustering Methods 1,3 Haghdadi , Navid Add to Reading List Source URL: apvi.org.au Language: English - Date: 2015-02-03 01:08:20 Fuzzy clustering Nowcasting Computer cluster Photovoltaic system K-means clustering Regression analysis Linear regression Statistics Computing Econometrics
562	How much true structure has been discovered? Validating Explorative Clustering on a Hold-Out Test Set F. H¨oppner University of Applied Sciences Braunschweig/Wolfenb¨ uttel DWolfsburg, Germany Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2010-06-09 06:22:20 Data mining Geostatistics DBSCAN K-means clustering Hierarchical clustering Single-linkage clustering Computer cluster Determining the number of clusters in a data set Consensus clustering Statistics Cluster analysis Data analysis
563	Compensation of Translational Displacement in Time Series Clustering using Cross Correlation Frank H¨oppner1 and Frank Klawonn23 1 Department of Economics Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2010-06-09 06:22:14 K-means clustering Correlation clustering Correlation and dependence Consensus clustering Clustering high-dimensional data Statistics Cluster analysis Fuzzy clustering
564	Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains Frank H¨ oppner1 and Mirko B¨ ottcher2 1 Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2007-12-03 03:21:54 Data analysis Geostatistics OPTICS algorithm K-means clustering BIRCH Hierarchical clustering Computer cluster Single-linkage clustering SUBCLU Statistics Data mining Cluster analysis
565	6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-means Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Cluster analysis Data mining Expectation–maximization algorithm K-means clustering Information bottleneck method Hierarchical clustering Mixture model Maximum likelihood Statistics Multivariate statistics Machine learning
566	Real-Time Clustering for Long-Term Autonomy Lionel Ott and Fabio Ramos Abstract In the future robots will have to operate autonomously for long periods of time. To achieve this they need to be able to learn directly from Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:38 DBSCAN Spectral clustering Consensus clustering Data stream clustering Statistics Cluster analysis K-means clustering
567	2012 IEEE International Conference on Robotics and Automation RiverCentre, Saint Paul, Minnesota, USA May 14-18, 2012 Unsupervised Incremental Learning for Long-Term Autonomy Lionel Ott and Fabio Ramos Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:39 Artificial intelligence Segmentation K-means clustering Unsupervised learning Pattern recognition Statistical classification Consensus clustering Cluster analysis Machine learning Statistics Computational statistics
568	1 Discovering Statistical Models of Availability in Large Distributed Systems: An Empirical Study of SETI@home Bahman Javadi, Member, IEEE, Derrick Kondo, Member, IEEE, Add to Reading List Source URL: mescal.imag.fr Language: English - Date: 2010-10-14 03:33:04 Computer cluster Concurrent computing Parallel computing Hierarchical clustering K-means clustering Normal distribution Sampling Consensus clustering Cluster analysis Statistics Computing Fault-tolerant computer systems
569	Multi-Sensor Clustering using Layered Affinity Propagation Lionel Ott1 and Fabio Ramos2 Abstract— Current robotic systems carry many diverse sensors such as laser scanners, cameras and inertial measurement units just t Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:34 Cluster analysis Machine learning Hierarchical clustering Network analysis K-means clustering Segmentation Multivariate statistics Spectral clustering Belief propagation Statistics Computing Image processing

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