Single-linkage clustering - PDFSEARCH.IO - Document Search Engine

Single-linkage clustering
Results: 127

#	Item
51	Hierarchical Maximum-Margin Clustering arXiv:1502.01827v1 [cs.LG] 6 Feb 2015 Guang-Tong Zhou Simon Fraser University, Burnaby, Canada Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2015-02-21 20:52:38 Data mining Geostatistics Hierarchical clustering Document clustering K-means clustering Single-linkage clustering Computer cluster Consensus clustering BIRCH Statistics Cluster analysis Data analysis
52	A Comparison of Spectral Clustering Algorithms Marina Meil˘a Department of Statistics University of Washington Seattle, WA[removed]removed] Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-01-20 23:04:42 Multivariate statistics Linear algebra Matrix theory Data analysis Cluster analysis Spectral clustering K-means clustering Hierarchical clustering Single-linkage clustering Algebra Statistics Mathematics
53	Model-Based Clustering With Dissimilarities: A Bayesian Approach Man-Suk O H and Adrian E. R AFTERY A Bayesian model-based clustering method is proposed for clustering objects on the basis of dissimilarites. This combine Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2008-05-20 22:04:55 Cluster analysis Data mining Geostatistics Markov chain Mixture model Single-linkage clustering Multidimensional scaling Normal distribution Statistics Multivariate statistics Machine learning
54 $Powder diffraction / Dendrogram / Single-linkage clustering / Diffraction / Statistics / Cluster analysis / Fuzzy clustering$	High-throughput powder diffraction. III. The application of full-profile pattern matching and multivariate statistical analysis to round-robin-type data sets Add to Reading List Source URL: journals.iucr.org Language: English - Date: 2013-11-02 09:24:33 Powder diffraction Dendrogram Single-linkage clustering Diffraction Statistics Cluster analysis Fuzzy clustering
55	Data Clustering: A Review A.K. JAIN Michigan State University M.N. MURTY Indian Institute of Science Add to Reading List Source URL: www.csee.umbc.edu Language: English - Date: 2003-10-28 17:38:07 Fuzzy clustering Hierarchical clustering Pattern recognition Unsupervised learning Single-linkage clustering Conceptual clustering Segmentation Consensus clustering Correlation clustering Statistics Machine learning Cluster analysis
56 $Data analysis / Data mining / Geostatistics / Powder diffraction / Fuzzy clustering / Principal component analysis / Dendrogram / Single-linkage clustering / Mass spectrometry software / Statistics / Cluster analysis / Multivariate statistics$	High-throughput powder diffraction. II. Applications of clustering methods and multivariate data analysis Add to Reading List Source URL: journals.iucr.org Language: English - Date: 2013-11-02 09:23:07 Data analysis Data mining Geostatistics Powder diffraction Fuzzy clustering Principal component analysis Dendrogram Single-linkage clustering Mass spectrometry software Statistics Cluster analysis Multivariate statistics
57	Canonicalizing Open Knowledge Bases Luis Galárraga Google Inc. Kevin Murphy Add to Reading List Source URL: suchanek.name Language: English - Date: 2014-08-25 04:46:00 Cluster analysis Data analysis Geostatistics Machine learning Information retrieval Single-linkage clustering Ridge Statistics Multivariate statistics Data mining
58	Journal of Machine Learning Research[removed] Submitted 5/09; Revised 8/10; Published 1/11 CARP: Software for Fishing Out Good Clustering Algorithms Volodymyr Melnykov Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-01-20 15:24:09 Data mining Geostatistics K-means clustering Single-linkage clustering Mixture model Statistics Machine learning Cluster analysis
59	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
60	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

UPDATE