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GCA: A real-time grid-based clustering algorithm for large data set
18th International Conference on Pattern Recognition (ICPR'06)
◽
10.1109/icpr.2006.597
◽
2006
◽
Cited By ~ 1
Author(s):
Zhiwen Yu
◽
Hau-San Wong
Keyword(s):
Real Time
◽
Clustering Algorithm
◽
Large Data
◽
Data Set
◽
Large Data Set
◽
Grid Based
◽
Time Grid
Download Full-text
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References
Clustering Study Based on a Large Data Set of Quantum Genetic Spectral Clustering Algorithm
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
◽
10.1115/1.859902.paper303
◽
2011
◽
pp. 1389-1394
Keyword(s):
Spectral Clustering
◽
Clustering Algorithm
◽
Large Data
◽
Data Set
◽
Large Data Set
◽
Spectral Clustering Algorithm
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Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set
SSRN Electronic Journal
◽
10.2139/ssrn.2839879
◽
2016
◽
Author(s):
H.O. Stekler
◽
Yongchen Zhao
Keyword(s):
Business Cycle
◽
Real Time
◽
Turning Points
◽
Large Data
◽
Data Set
◽
Large Data Set
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New optimized agglomerative clustering algorithm using multilevel threshold for finding optimum number of clusters on large data set
2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET)
◽
10.1109/incoset.2012.6513892
◽
2012
◽
Cited By ~ 3
Author(s):
R. Krishnamoorthy
◽
S. SreedharKumar
Keyword(s):
Clustering Algorithm
◽
Large Data
◽
Optimum Number
◽
Agglomerative Clustering
◽
Data Set
◽
Number Of Clusters
◽
Large Data Set
Download Full-text
Predicting U.S. Business Cycle Turning Points Using Real-Time Diffusion Indexes Based on a Large Data Set
Journal of Business Cycle Research
◽
10.1007/s41549-020-00046-y
◽
2020
◽
Vol 16
(2)
◽
pp. 77-97
Author(s):
Yongchen Zhao
Keyword(s):
Business Cycle
◽
Real Time
◽
Turning Points
◽
Large Data
◽
Data Set
◽
Large Data Set
Download Full-text
An Advanced Clustering Algorithm (ACA) for Clustering Large Data Set to Achieve High Dimensionality
Journal of Computer Science & Systems Biology
◽
10.4172/jcsb.1000146
◽
2014
◽
Vol 7
(4)
◽
Author(s):
Amanpreet Kaur Toor
Keyword(s):
Clustering Algorithm
◽
Large Data
◽
High Dimensionality
◽
Data Set
◽
Large Data Set
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An Advanced Clustering Algorithm (ACA) for Clustering Large Data Set to Achieve High Dimensionality
International Journal of Applied Information Systems
◽
10.5120/ijais14-451136
◽
2014
◽
Vol 7
(2)
◽
pp. 5-9
Author(s):
Amanpreet KaurToor
◽
Amarpreet Singh
Keyword(s):
Clustering Algorithm
◽
Large Data
◽
High Dimensionality
◽
Data Set
◽
Large Data Set
Download Full-text
An Advanced Clustering Algorithm (ACA) for Clustering Large Data Set to achieve High Dimensionality
International Journal of Applied Information Systems
◽
10.5120/ijais14-451135
◽
2014
◽
Vol 7
(2)
◽
pp. 1-4
Author(s):
Md. ImranAzim
◽
Md. Fayzur Rahman
◽
Tamal Sarkar
Keyword(s):
Clustering Algorithm
◽
Large Data
◽
High Dimensionality
◽
Data Set
◽
Large Data Set
Download Full-text
Climatology of nutrient distributions in the South China Sea based on a large data set derived from a new algorithm
Progress In Oceanography
◽
10.1016/j.pocean.2021.102586
◽
2021
◽
pp. 102586
Author(s):
Chuanjun Du
◽
Ruoying He
◽
Zhiyu Liu
◽
Tao Huang
◽
Lifang Wang
◽
...
Keyword(s):
South China Sea
◽
South China
◽
Large Data
◽
The South China Sea
◽
The South
◽
Data Set
◽
China Sea
◽
Large Data Set
Download Full-text
Spike detection: Inter-reader agreement and a statistical Turing test on a large data set
Clinical Neurophysiology
◽
10.1016/j.clinph.2016.11.005
◽
2017
◽
Vol 128
(1)
◽
pp. 243-250
◽
Cited By ~ 55
Author(s):
Mark L. Scheuer
◽
Anto Bagic
◽
Scott B. Wilson
Keyword(s):
Large Data
◽
Turing Test
◽
Spike Detection
◽
Data Set
◽
Large Data Set
Download Full-text
Determining radial efficiency with a large data set by solving small-size linear programs
Annals of Operations Research
◽
10.1007/s10479-015-1968-4
◽
2015
◽
Vol 250
(1)
◽
pp. 147-166
◽
Cited By ~ 5
Author(s):
Wen-Chih Chen
◽
Sheng-Yung Lai
Keyword(s):
Large Data
◽
Linear Programs
◽
Data Set
◽
Large Data Set
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