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K-Medoid

K-Medoid

K-Medoid. Partitional Clustering. Partition n objects into k clusters These techniques start with K clusters (partitions) The partitions (clusters) is decided in advance by the user. k-medoid methods. There are two best-known k-medoid methods: PAM ( P artitioning A round M edoids)

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747 views • 59 slides
Towards the Geo-computation of Real-Time Geodemographics

Towards the Geo-computation of Real-Time Geodemographics

Towards the Geo-computation of Real-Time Geodemographics. Muhammad Adnan. Introduction. BSc. in Information Technology from N.E.D. University, Karachi, Pakistan MSc. in Software Engineering from Queen Mary, University of London

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508 views • 44 slides
Robert Farber and Harold Trease Pacific Northwest National Laboratory

Robert Farber and Harold Trease Pacific Northwest National Laboratory

Massively Parallel Near-Linear Scalability Algorithms with Application to Unstructured Video Analysis. Robert Farber and Harold Trease Pacific Northwest National Laboratory Acknowledge: Adam Wynne (PNNL) , Lynn Trease (PNNL), Tim Carlson (PNNL), Ryan Mooney (now at google.com).

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372 views • 24 slides
A Comparison of the AHE with the GT2 based RealityGrid launcher

A Comparison of the AHE with the GT2 based RealityGrid launcher

A Comparison of the AHE with the GT2 based RealityGrid launcher. Mary-Ann Thyveetil, Peter Coveney, Centre for Computational Science, UCL m.thyveetil@ucl.ac.uk. User Perspective. Large-scale molecular dynamics modelling of clay nanocomposites Requirements: Need large computational resource

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218 views • 9 slides

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