Obserwuj
Guojun Gan
Tytuł
Cytowane przez
Cytowane przez
Rok
Data Clustering: Theory, Algorithms, and Applications
G Gan, C Ma, J Wu
SIAM, 2007
2855*2007
Maintaining Discrimination and Fairness in Class Incremental Learning
B Zhao, X Xiao, G Gan, B Zhang, S Xia
The 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2020
5462020
k-Means Clustering with Outlier Removal
G Gan, MKP Ng
Pattern Recognition Letters 90, 8--14, 2017
2152017
A convergence theorem for the fuzzy subspace clustering (FSC) algorithm
G Gan, J Wu
Pattern Recognition 41 (6), 1939-1947, 2008
1372008
A genetic fuzzy k-Modes algorithm for clustering categorical data
G Gan, J Wu, Z Yang
Expert Systems with Applications 36 (2), 1615-1620, 2009
1362009
Application of data clustering and machine learning in variable annuity valuation
G Gan
Insurance: Mathematics and Economics 53 (3), 795-801, 2013
1322013
Subspace clustering for high dimensional categorical data
G Gan, J Wu
Acm Sigkdd Explorations Newsletter 6 (2), 87-94, 2004
1212004
Valuation of Large Variable Annuity Portfolios Under Nested Simulations: A Functional Data Approach
G Gan, XS Lin
Insurance: Mathematics and Economics 62, 138-150, 2015
922015
A fuzzy subspace algorithm for clustering high dimensional data
G Gan, J Wu, Z Yang
International Conference on Advanced Data Mining and Applications, 271-278, 2006
892006
Data Clustering in C++: an object-oriented approach
G Gan
Crc Press, 2011
602011
Regression modeling for the valuation of large variable annuity portfolios
G Gan, EA Valdez
North American Actuarial Journal 22 (1), 40-54, 2018
572018
Subspace clustering with automatic feature grouping
G Gan, MKP Ng
Pattern Recognition 48 (11), 3703-3713, 2015
542015
Subspace Clustering using Affinity Propagation
G Gan, MKP Ng
Pattern Recognition 48 (4), 1451–1460, 2015
542015
Efficient greek calculation of variable annuity portfolios for dynamic hedging: A two-level metamodeling approach
G Gan, XS Lin
North American Actuarial Journal 21 (2), 161-177, 2017
432017
A Genetic k-Modes Algorithm for Clustering Categorical Data
G Gan, Z Yang, J Wu
Advanced Data Mining and Applications: First International Conference, ADMA …, 2005
432005
Valuation of large variable annuity portfolios: Monte Carlo simulation and synthetic datasets
G Gan, EA Valdez
Dependence Modeling 5, 354-374, 2017
402017
Data clustering with actuarial applications
G Gan, EA Valdez
North American Actuarial Journal 24 (2), 168-186, 2020
382020
An Empirical Comparison of Some Experimental Designs for the Valuation of Large Variable Annuity Portfolios
G Gan, EA Valdez
Dependence Modeling 4 (1), 382-400, 2016
362016
Application of metamodeling to the valuation of large variable annuity portfolios
G Gan
2015 Winter simulation conference (WSC), 1103-1114, 2015
342015
A data mining framework for valuing large portfolios of variable annuities
G Gan, JX Huang
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
302017
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