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Spatial Indexing by Virtual Bounding Rectangles for High-Dimensional Data
Information Organization and Databases
◽
10.1007/978-1-4615-1379-7_19
◽
2000
◽
pp. 267-279
Author(s):
Yasushi Sakurai
◽
Masatoshi Yoshikawa
◽
Shunsuke Uemura
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Spatial Indexing
Download Full-text
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References
Approximate retrieval of high-dimensional data withL 1 metric by spatial indexing
New Generation Computing
◽
10.1007/bf03037567
◽
2000
◽
Vol 18
(1)
◽
pp. 39-47
◽
Cited By ~ 3
Author(s):
Takeshi Shinohara
◽
Jiyuan An
◽
Hiroki Ishizaka
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Spatial Indexing
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Spatial indexing of high-dimensional data based on relative approximation
The VLDB Journal
◽
10.1007/s00778-002-0066-9
◽
2002
◽
Vol 11
(2)
◽
pp. 93-108
◽
Cited By ~ 13
Author(s):
Yasushi Sakurai
◽
Masatoshi Yoshikawa
◽
Shunsuke Uemura
◽
Haruhiko Kojima
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Spatial Indexing
◽
Relative Approximation
Download Full-text
Approximate Retrieval of High-Dimensional Data by Spatial Indexing
Lecture Notes in Computer Science - Discovey Science
◽
10.1007/3-540-49292-5_13
◽
1998
◽
pp. 141-149
◽
Cited By ~ 1
Author(s):
Takeshi Shinohara
◽
Jiyuan An
◽
Hiroki Ishizaka
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Spatial Indexing
Download Full-text
Large Sample Covariance Matrices and High-Dimensional Data Analysis
10.1017/cbo9781107588080
◽
2015
◽
Cited By ~ 26
Author(s):
Jianfeng Yao
◽
Shurong Zheng
◽
Zhidong Bai
Keyword(s):
Data Analysis
◽
High Dimensional Data
◽
Covariance Matrices
◽
High Dimensional
◽
Large Sample
◽
Sample Covariance Matrices
◽
Sample Covariance
◽
High Dimensional Data Analysis
Download Full-text
Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey
Informatica
◽
10.15388/informatica.2016.84
◽
2016
◽
Vol 27
(2)
◽
pp. 257-281
◽
Cited By ~ 5
Author(s):
Rasa Karbauskaitė
◽
Gintautas Dzemyda
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Intrinsic Dimensionality
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A Fast Clustering Algorithm for Large-scale and High Dimensional Data
ACTA AUTOMATICA SINICA
◽
10.3724/sp.j.1004.2009.00859
◽
2009
◽
Vol 35
(7)
◽
pp. 859-866
Author(s):
Ming LIU
◽
Xiao-Long WANG
◽
Yuan-Chao LIU
Keyword(s):
Large Scale
◽
Clustering Algorithm
◽
High Dimensional Data
◽
High Dimensional
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Improved negative selection algorithm for network anomaly detection on high-dimensional data
Journal of Computer Applications
◽
10.3724/sp.j.1087.2009.00805
◽
2009
◽
Vol 29
(3)
◽
pp. 805-807
◽
Cited By ~ 1
Author(s):
Wen-zhong GUO
◽
Guo-long CHEN
◽
Qing-liang CHEN
Keyword(s):
Anomaly Detection
◽
Negative Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection Algorithm
◽
Negative Selection Algorithm
◽
Network Anomaly Detection
Download Full-text
An Advanced Mining Services in Predicting and Ranking User Vitality across Dynamic and High Dimensional Data Sets
SSRN Electronic Journal
◽
10.2139/ssrn.3395242
◽
2019
◽
Author(s):
Ch. Durga Bhavani
◽
Dr. A. Daveedu Raju
◽
Dr. V. Surya Narayana
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Data Sets
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Outlier Detection in High Dimensional Data Based on the Anti-Hub and Regression Technique
International Journal for Research in Applied Science and Engineering Technology
◽
10.22214/ijraset.2017.8219
◽
2017
◽
Vol V
(VIII)
◽
pp. 1543-1551
Author(s):
Golla Hemalatha
Keyword(s):
Outlier Detection
◽
High Dimensional Data
◽
Regression Technique
◽
High Dimensional
Download Full-text
Approximate Cluster Heat Maps of Large High-Dimensional Data
2018 24th International Conference on Pattern Recognition (ICPR)
◽
10.1109/icpr.2018.8545519
◽
2018
◽
Cited By ~ 1
Author(s):
Punit Rathore
◽
James C. Bezdek
◽
Dheeraj Kumar
◽
Sutharshan Rajasegarar
◽
Marimuthu Palaniswami
Keyword(s):
High Dimensional Data
◽
High Dimensional
◽
Heat Maps
Download Full-text
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