WEKO3
アイテム
NII Technical Report (NII-2009-016E)：Adaptive Classification Using Shared-Neighbor Information
https://doi.org/10.20736/0000001261
https://doi.org/10.20736/0000001261cba256f9-859a-4465-948a-a4eb00e3967a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
NII Technical Report (NII-2009-016E)：Adaptive Classification Using Shared-Neighbor Information (336.1 kB)
|
|
| Item type | レポート / Report(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2019-03-12 | |||||||||
| タイトル | ||||||||||
| タイトル | NII Technical Report (NII-2009-016E)：Adaptive Classification Using Shared-Neighbor Information | |||||||||
| 言語 | en | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 言語 | ja | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | テクニカルレポート | |||||||||
| キーワード | ||||||||||
| 言語 | en | |||||||||
| 主題Scheme | Other | |||||||||
| 主題 | Technical Report | |||||||||
| 資源タイプ | ||||||||||
| 資源 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| タイプ | departmental bulletin paper | |||||||||
| ID登録 | ||||||||||
| ID登録 | 10.20736/0000001261 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 著者 |
Houle, Michael E.
× Houle, Michael E.
× Nett, Michael
|
|||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | Nearest-neighbor approaches for classification have long been recognized for their potential in achieving low error rates, despite their perceived lack of scalability. Recent advances in the efficient computation of approximate k-nearest neighborhoods have made the nearest neighbor approaches more affordable in practice. However, their effectiveness is still limited due to their sensitivity to noise and to the choice of neighborhood size k. In this paper, we propose a general-purpose method for nearest-neighbor classification that seeks to compensate for the effects of noise through the determination of natural clusters in the vicinity of the test item. The classification model, based on elements of the relevant-set correlation (RSC) model for clustering, also allows for the automatic determination of an appropriate value of k for each test item. We also provide experimental results that demonstrate the competitiveness of our approach with that of other popular classification methods. | |||||||||
| 言語 | en | |||||||||
| 書誌情報 |
ja : NIIテクニカル・レポート en : NII Technical Report p. 1-14, 発行日 2009-12-22 |
|||||||||
| 出版者 | ||||||||||
| 出版者 | 国立情報学研究所 | |||||||||
| 言語 | ja | |||||||||
| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1346-5597 | |||||||||
