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K-means
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#	Item
621	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
622	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
623	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
624	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
625	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
626	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
627	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
628	Coastline Complexity: A Parameter for Functional Classification of Coastal Environments J. D. Bartley a,b,, R. W. Buddemeier a,b, D. A. Bennett c a Kansas Geological Survey, 1930 Constant Ave., Lawrence, KS 66047, USA Add to Reading List Source URL: www.kgs.ku.edu Language: English* - Date: 2001-06-25 12:31:13 Structure LOICZ Coastal geography Segmentation Coast Fractal dimension Ecology K-means clustering Complexity Fractals Science Dimension
629	Coastal Typology Development with Heterogeneous Data Sets Bruce A. Maxwell Swarthmore College Swarthmore, PA[removed]removed] Add to Reading List Source URL: www.kgs.ku.edu Language: English - Date: 2003-04-14 14:29:40 Data analysis Market research Psychometrics K-means clustering Multidimensional scaling Mahalanobis distance Segmentation Consensus clustering Hierarchical clustering Statistics Multivariate statistics Cluster analysis

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