The additive clustering approach to modeling pairwise similarity of entities is a powerful tool for deriving featural stimulus representations. In a recent paper, Lee (2001) proposes a statistically principled measure for choosing between clustering models that accounts for model complexity as well
On the Complexity of Additive Clustering Models
โ Scribed by Michael D. Lee
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 178 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0022-2496
No coin nor oath required. For personal study only.
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