Intrinsic Dimensionality Estimation for Data Points in Local Region
| Autor: | Aiqing Xu, Xiaorong Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Computer science business.industry Applied Mathematics Numerical analysis Model of computation Pattern recognition Dimensionality estimation Nonparametric inference Data point Probabilistic method Preprocessor Artificial intelligence Statistics Probability and Uncertainty business Curse of dimensionality |
| Zdroj: | Sankhya B. 81:123-132 |
| ISSN: | 0976-8394 0976-8386 |
| DOI: | 10.1007/s13571-018-0156-3 |
| Popis: | Intrinsic dimensionality estimation plays a pivotal role in dealing with high-dimensional datasets. In this work, we aim to develop a robust dimensionality estimation algorithm by investigating the intrinsic dimensionality estimation methods for data points in its local region. Our method is able to effectively utilise the geometric information in the local region for dimensionality. We also show different methods to improve the estimation by using perspectives from the local region and different preprocessing methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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