Medoid

Results: 111



#Item
71Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

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Source URL: mirror.fcaglp.unlp.edu.ar

Language: English - Date: 2013-04-26 09:13:28
72Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

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Source URL: rweb.quant.ku.edu

Language: English - Date: 2013-04-26 09:13:28
73Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

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Source URL: star-www.st-andrews.ac.uk

Language: English - Date: 2013-04-26 09:13:28
74Data analysis / Formal sciences / Data mining / Hierarchical clustering / Annual average daily traffic / K-medoids / Single-linkage clustering / Medoid / K-means clustering / Statistics / Cluster analysis / Machine learning

Clustering Methods for Road Grouping in FHWA Traffic Monitoring Factor Approach Rossi Riccardo*, Gastaldi Massimiliano, Gecchele Gregorio, Caprini Armando Department of Structural and Transportation Engineering, Universi

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Source URL: www.mech.kuleuven.be

Language: English - Date: 2011-06-01 10:21:41
75Hydraulic engineering / Cluster analysis / Multivariate statistics / Data mining / Hydrograph / Medoid / K-means clustering / Machine learning / Weka / Statistics / Data analysis / Hydrology

Data Mining in Hydrology J.M. Spate,a, B.F.W. Crokeb, A.J. Jakemanb a Department of Mathematics, The Australian National University, Canberra ACT 0200, Australia ()

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-14 21:18:26
76Cluster analysis / Data mining / Geostatistics / K-means clustering / Medoid / K-medoids / 3D reconstruction / Structure from motion / 3D modeling / Statistics / Computing / Computer vision

1 Building Rome on a Cloudless Day (ECCVJan-Michael Frahm1 , Pierre Georgel1 , David Gallup1 , Tim Johnson1 , Rahul Raguram1 , Changchang Wu1 , Yi-Hung Jen1 , Enrique Dunn1 , Brian Clipp1 , Svetlana Lazebnik1 , M

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Source URL: www.cs.unc.edu

Language: English - Date: 2010-06-07 16:49:40
77Hierarchical clustering / Cophenetic correlation / Single-linkage clustering / Dendrogram / Cosmic distance ladder / Medoid / Nearest-neighbor chain algorithm / Statistics / Cluster analysis / Network analysis

Hierarchical Clustering / Dendrograms

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Source URL: ncss.wpengine.netdna-cdn.com

Language: English - Date: 2015-01-06 16:08:09
78Silhouette / Variable / K-nearest neighbor algorithm / Cosmic distance ladder / Level of measurement / K-medoids / Clustering high-dimensional data / Statistics / Cluster analysis / Medoid

NCSS Statistical Software NCSS.com Chapter 447

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Source URL: ncss.wpengine.netdna-cdn.com

Language: English - Date: 2015-01-06 16:08:23
79Cluster analysis / Multivariate statistics / K-means clustering / Outlier / Random forest / Anomaly detection / Medoid / K-medoids / Principal component analysis / Statistics / Data analysis / Data mining

R and Data Mining: Examples and Case Studies 1 Yanchang Zhao

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Source URL: ftp.yz.yamagata-u.ac.jp

Language: English - Date: 2013-04-26 09:13:28
80Machine learning / Geostatistics / BIRCH / Hierarchical clustering / Nearest neighbor search / Medoid / DBSCAN / SUBCLU / Conceptual clustering / Statistics / Cluster analysis / Data mining

Clustering Large Datasets in Arbitrary Metric Spaces Venkatesh Ganti Raghu Ramakrishnan Johannes Gehrkey Computer Sciences Department, University of Wisconsin-Madison Allison Powellz

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Source URL: www.cs.virginia.edu

Language: English - Date: 1999-05-18 14:50:51
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