Astronomy and Big Data [electronic resource] A Data Clustering Approach to Identifying Uncertain Galaxy Morphology / by Kieran Jay Edwards, Mohamed Medhat Gaber.
With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing h...
| Uniform Title: | Studies in Big Data,
2197-6511 ; 6 |
|---|---|
| Main Authors: | |
| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
|
| Edition: | 1st ed. 2014. |
| Series: | Studies in Big Data,
6 |
| Subjects: | |
| Online Access: | |
| Variant Title: |
Astronomy and Big Data: A Data Clustering Approach to Identifying Uncertain Galaxy Morphology |
| Format: | Electronic eBook |
System Under Maintenance
Our Library Management System is currently under maintenance.
Holdings and item availability information is currently unavailable. Please accept our apologies for any inconvenience this may cause and contact us for further assistance:
Please contact Reference and Discovery Services via their Contact Form or call them directly at: 517-353-8700 for assistance.