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Classified Information: The Data Clustering Problem
September/October 2003 (vol. 5 no. 5)
pp. 54-60
| ASCII Text | x | ||
| Nargess Memarsadeghi, Dianne P. O'Leary, Yalin E. Sagduyu, "Classified Information: The Data Clustering Problem," Computing in Science and Engineering, vol. 5, no. 5, pp. 54-60, September/October, 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/MCISE.2003.1225861, author = {Nargess Memarsadeghi and Dianne P. O'Leary and Yalin E. Sagduyu}, title = {Classified Information: The Data Clustering Problem}, journal ={Computing in Science and Engineering}, volume = {5}, number = {5}, issn = {1521-9615}, year = {2003}, pages = {54-60}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCISE.2003.1225861}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Classified Information: The Data Clustering Problem IS - 5 SN - 1521-9615 SP54 EP60 EPD - 54-60 A1 - Nargess Memarsadeghi, A1 - Dianne P. O'Leary, A1 - Yalin E. Sagduyu, PY - 2003 VL - 5 JA - Computing in Science and Engineering ER - | |||
Many projects in engineering and science require data classification based on different heuristics. Designers, for example, classify automobile engine performance as acceptable or unacceptable based on a combination of efficiency, emissions, noise levels, and other criteria. Researchers routinely classify documents as "relevant to the current project" or "irrelevant." Genome decoding divides chromosomes into genes, regulatory regions, signals, and so on. Pathologists identify cells as cancerous or benign.
Citation:
Nargess Memarsadeghi, Dianne P. O'Leary, Yalin E. Sagduyu, "Classified Information: The Data Clustering Problem," Computing in Science and Engineering, vol. 5, no. 5, pp. 54-60, Sept.-Oct. 2003, doi:10.1109/MCISE.2003.1225861
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