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Geostatistics / Machine learning / Hierarchical clustering / K-means clustering / DBSCAN / ELKI / Consensus clustering / Determining the number of clusters in a data set / Statistics / Cluster analysis / Data mining


On the Use of Social Trajectory-Based Clustering Methods for Public Transport Optimization Jordi Nin1(B) , David Carrera1 , and Daniel Villatoro2 1 Barcelona Supercomputing Center (BSC),
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Document Date: 2014-01-13 04:30:42


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Trajectory / Barcelona / New York / Grid / Constraint / Catalonia / London / /

Company

Twitter / Springer International Publishing Switzerland / Apache Software Foundation / /

Country

Spain / /

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Facility

Barcelona Digital Technology Centre / /

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OperatingSystem

Linux / /

Organization

Software Foundation / Ministry of Science and Technology of Spain / Catalan Agency / Universitat Polit`ecnica de Catalunya / Barcelona Supercomputing Center / Spanish Centre for Development of Industrial Technology / /

Person

Christopher Ward / /

Product

GeoNames service / MongoDB / ELKi / GeoNames / /

ProvinceOrState

New York / /

Technology

computation using classical algorithms / subspace clustering algorithms / Clustering algorithms / 2 Barcelona Digital Technology / Linux / classical algorithm / GPS / clustering algorithm / mobile phones / machine learning / TCP/IP / k-nearest neighbors algorithms / Flash memory / RDMA-enabled network technologies / data mining algorithms / density-based algorithm / three wellknown clustering algorithms / data mining / caching / different technologies / trajectory clustering algorithms / Flash / classical clustering algorithms / Technology of Spain / dynamic programming asm algorithm / /

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