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Data mining / Geostatistics / K-means clustering / Segmentation / Constrained clustering / Genetic algorithm / Nearest-neighbor chain algorithm / Consensus clustering / Statistics / Cluster analysis / Data analysis


Structuring typical evolutions using Temporal-Driven Constrained Clustering Marian-Andrei Rizoiu Julien Velcin St´ephane Lallich ERIC laboratory
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Document Date: 2013-10-04 10:30:16

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Lyon / /

Company

Neural Information Processing Systems / Artificial Neural Networks / /

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Norway / Belgium / Jordan / Iceland / Portugal / Sweden / Finland / Spain / Greece / New Zealand / Ireland / Denmark / /

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Facility

ERIC laboratory University Lumi`ere Lyon / University Lumi`ere Lyon / /

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temporal constrained clustering algorithm / search-based methods / genetic algorithms / Web Search / unsupervised feature construction algorithm / time-driven constrained clustering algorithm / /

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set 1960 / /

NaturalFeature

Shannon / /

Person

Julien Velcin St´ephane / /

Product

Pentax K-x Digital Camera / /

Region

Nordic countries / /

Technology

TDCK-Means algorithm / K-Means algorithm / clustering using genetic algorithms / proposed algorithm / xk 6∈Cj Algorithm / GPS / clustering algorithm / temporal constrained clustering algorithm / Data Mining / proposed algorithms / unsupervised feature construction algorithm / considered algorithms / time-driven constrained clustering algorithm / Constrained K-Means algorithm / five algorithms / two algorithms / constrained algorithms / Temporal-Driven Constrained Clustering algorithm / C. The TDCK-Means algorithm / /

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