CWRU PAT Coffee Agenda

Tuesdays 10:30 - 11:30 | Fridays 11:30 - 12:30

+2 Weinberg Soft Theorems from Weinberg Adiabatic Modes.

oxg34 +1 aam80 +1

+1 Electromagnetic Counterparts to Black Hole Mergers Detected by LIGO.

sxk1031 +1

+1 Tests of general relativity with GW150914.

oxg34 +1 qxc76 +1 aam80 +1 jtd55 +1

+1 Local Conformal Symmetry: the Missing Symmetry Component for Space and Time

cad96 +1

+1 Practical Introduction to Clustering Data.

cjc5 +1

+1 Gravitational Wave Detection in the Introductory Lab.

jtd55 +1

+1 Fermi GBM Observations of LIGO Gravitational Wave event GW150914.

jtd55 +1 aam80 +1

+1 First Search for a Dark Matter Annual Modulation Signal with NaI(Tl) in the Southern Hemisphere by DM-Ice17.

cjc5 +1

+1 Singularities, horizons, firewalls, and local conformal symmetry.

qxc76 +1 bump  

+1 Testing Gravity with Gravitational Wave Source Counts.

oxg34 +1 aam80 +1 jtd55 +1 jbm120 +1

0 Inhomogeneous Anisotropic Cosmology.

bump   sxz353 +1 jbm120 +1

Showing votes from 2016-02-16 11:30 to 2016-02-19 12:30 | Next meeting is Friday May 8th, 11:30 am.

users

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astro-ph.CO

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astro-ph.HE

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astro-ph.GA

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astro-ph.IM

  • Practical Introduction to Clustering Data.- [PDF] - [Article]

    Alexander K. Hartmann
     

    Data clustering is an approach to seek for structure in sets of complex data, i.e., sets of "objects". The main objective is to identify groups of objects which are similar to each other, e.g., for classification. Here, an introduction to clustering is given and three basic approaches are introduced: the k-means algorithm, neighbour-based clustering, and an agglomerative clustering method. For all cases, C source code examples are given, allowing for an easy implementation.

gr-qc

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hep-ph

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hep-th

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hep-ex

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quant-ph

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other

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