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The Versatility of SpAM: A Fast, Efficient, Spatial Method of Data Collection for Multidimensional Scaling
Although traditional methods to collect similarity data (for multidimensional scaling, MDS) are robust, they share a key shortcoming. Specifically, the possible pairwise comparisons in any set of objects grow rapidly as a function of set size. This leads to lengthy experimental protocols, or procedu...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3465534/ https://ncbi.nlm.nih.gov/pubmed/22746700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/a0028860 |
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