Egashira Kento 江頭健斗

Researcher Number	20979869
Other IDs
Affiliation (Current)	2025: 東京理科大学, 創域理工学部情報計算科学科, 助教
Affiliation (based on the past Project Information) *help	2024: 東京理科大学, 創域理工学部情報計算科学科, 助教
Review Section/Research Field	Principal Investigator Basic Section 60030:Statistical science-related Except Principal Investigator Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords	Principal Investigator 高次元漸近理論 / カーネル法 / 非線形 / クラスタリング / 高次元データ Except Principal Investigator 高次元小標本 / 深層学習 / 高次元統計解析 / 時空間データ / 高次元データ

高次元小標本におけるクラスタリング手法とカーネル法の有効性に関する理論と応用Principal Investigator
- Principal Investigator
  
  江頭健斗
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo University of Science
Innovative Developments of Theories and Methodologies for Large Complex Data
- Principal Investigator
  
  青嶋誠
- Project Period (FY)
  2020 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (A)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  University of Tsukuba

All 2024 2023 2022 2021

All Journal Article Presentation

[Journal Article] High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 2532024
- Author(s)
  Takeuchi Tsutomu T.、Yata Kazuyoshi、Egashira Kento、Aoshima Makoto、Ishii Aki、Cooray Suchetha、Nakanishi Kouichiro、Kohno Kotaro、Kono Kai T.
- Journal Title
  
  The Astrophysical Journal Supplement Series
  
  Volume: 271 Issue: 2 Pages: 44-44
- DOI
  10.3847/1538-4365/ad2517
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-22K03412, KAKENHI-PROJECT-18K18015, KAKENHI-PROJECT-20H00576
[Journal Article] Asymptotic properties of hierarchical clustering in high-dimensional settings2024
- Author(s)
  Egashira Kento、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Journal of Multivariate Analysis
  
  Volume: 199 Pages: 105251-105251
- DOI
  10.1016/j.jmva.2023.105251
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19769, KAKENHI-PROJECT-20K11701, KAKENHI-PROJECT-22K03412, KAKENHI-PROJECT-20H00576
[Journal Article] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗, 矢田和善, 青嶋誠
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 2221 Pages: 30-37
- Open Access
- Data Source
  KAKENHI-PROJECT-20H00576
[Journal Article] Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data2021
- Author(s)
  Egashira Kento、Yata Kazuyoshi、Aoshima Makoto
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: 4 Issue: 2 Pages: 821-840
- DOI
  10.1007/s42081-021-00135-x
- NAID
  210000176902
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K03409, KAKENHI-PROJECT-19K22837, KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic properties of kernel k-means under high dimensional settings2024
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  IMS Asia Pacific Rim Meeting 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic behaviors of k-means under high dimensional settings2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 6th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic properties of kernel k-means for high dimensional data2023
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  International Symposium on Recent Advances in Theories and Methodologies for Large Complex Data
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 高次元小標本における非階層型クラスタリングの一致性について2023
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  京都大学数理解析研究所研究集会「種々の統計的モデルにおける推測方式の有効性」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 階層的クラスタリングの高次元漸近的性質について2022
- Author(s)
  江頭健斗、矢田和善、青嶋誠
- Organizer
  京都大学数理解析研究所研究会「ベイズ法と統計的推測」
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Asymptotic behaviors of hierarchical clustering under high dimensional settings2022
- Author(s)
  Kento Egashira, Kazuyoshi Yata, Makoto Aoshima
- Organizer
  The 5th International Conference on Econometrics and Statistics
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] 階層的クラスタリングの高次元漸近的振舞い2022
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  日本数学会秋季総合分科会
- Data Source
  KAKENHI-PROJECT-20H00576
[Presentation] Hierarchical clustering and its asymptotic behaviors in high-dimensional settings2022
- Author(s)
  江頭健斗, 矢田和善，青嶋誠
- Organizer
  科研費シンポジウム「統計科学の開拓」
- Data Source
  KAKENHI-PROJECT-20H00576

1. 青嶋誠 (90246679)

# of Collaborated Projects: 1 results

# of Collaborated Products: 12 results
2. 矢田和善 (90585803)

# of Collaborated Projects: 1 results

# of Collaborated Products: 12 results
3. 星野伸明 (00313627)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 塩濱敬之 (40361844)

# of Collaborated Projects: 1 results

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5. 鈴木大慈 (60551372)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 石井晶 (20801161)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
7. 荒木由布子 (80403913)

# of Collaborated Projects: 1 results

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8. 川野秀一 (50611448)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 蛭川潤一 (10386617)

# of Collaborated Projects: 1 results

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10. 松田安昌 (10301590)

# of Collaborated Projects: 1 results

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11. 田畑耕治 (30453814)

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12. 片山翔太 (50742459)

# of Collaborated Projects: 1 results

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13. 中山優吾 (40884169)

# of Collaborated Projects: 1 results

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14. 植木優夫 (10515860)

# of Collaborated Projects: 1 results

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15. 小森理 (60586379)

# of Collaborated Projects: 1 results

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16. 金森敬文 (60334546)

# of Collaborated Projects: 1 results

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17. 松井秀俊 (90633305)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Egashira Kento 江頭 健斗

Research Projects

Research Products

Co-Researchers

高次元小標本におけるクラスタリング手法とカーネル法の有効性に関する理論と応用Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Innovative Developments of Theories and Methodologies for Large Complex Data

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 2532024

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Journal Title

DOI

Data Source

[Journal Article] Asymptotic properties of hierarchical clustering in high-dimensional settings2024

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DOI

Data Source

[Journal Article] 階層的クラスタリングの高次元漸近的性質について2022

Author(s)

Journal Title

Data Source

[Journal Article] Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data2021

Author(s)

Journal Title

DOI

NAID

Data Source

[Presentation] Asymptotic properties of kernel k-means under high dimensional settings2024

Author(s)

Organizer

Data Source

[Presentation] Asymptotic behaviors of k-means under high dimensional settings2023

Author(s)

Organizer

Data Source

[Presentation] Asymptotic properties of kernel k-means for high dimensional data2023

Author(s)

Organizer

Data Source

[Presentation] 高次元小標本における非階層型クラスタリングの一致性について2023

Author(s)

Organizer

Data Source

[Presentation] 階層的クラスタリングの高次元漸近的性質について2022

Author(s)

Organizer

Data Source

[Presentation] Asymptotic behaviors of hierarchical clustering under high dimensional settings2022

Author(s)

Organizer

Data Source

[Presentation] 階層的クラスタリングの高次元漸近的振舞い2022

Author(s)

Organizer

Data Source

[Presentation] Hierarchical clustering and its asymptotic behaviors in high-dimensional settings2022

Author(s)

Organizer

Data Source

Egashira Kento 江頭健斗