File:Fig2 Murtagh BigDataCogComp2018 2-2.jpg
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Summary
| Description |
Figure 2. Hierarchical clustering, and derived 3-class partition, of the 21 software languages or environments at issue here, based on the full dimensionality, Euclidean-metric endowed, factor space. See Section 3. The agglomerative criterion is the Ward minimum variance method. |
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| Source |
Murtagh, F.; Devlin, K. (2018). "The development of data science: Implications for education, employment, research, and the data revolution for sustainable development". Big Data and Cognitive Computing 2 (2): 14. doi:10.3390/bdcc2020014. |
| Date |
2018 |
| Author |
Murtagh, F.; Devlin, K. |
| Permission (Reusing this file) |
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Licensing
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
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| current | 20:30, 17 July 2018 | | 550 × 516 (52 KB) | Shawndouglas (talk | contribs) |
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