Data Clustering: Theory, Algorithms, and Applications G Gan, C Ma, J Wu SIAM, 2007 | 2767* | 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 | 419 | 2020 |
k-Means Clustering with Outlier Removal G Gan, MKP Ng Pattern Recognition Letters 90, 8--14, 2017 | 203 | 2017 |
A convergence theorem for the fuzzy subspace clustering (FSC) algorithm G Gan, J Wu Pattern Recognition 41 (6), 1939-1947, 2008 | 138 | 2008 |
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 | 131 | 2009 |
Application of data clustering and machine learning in variable annuity valuation G Gan Insurance: Mathematics and Economics 53 (3), 795-801, 2013 | 128 | 2013 |
Subspace clustering for high dimensional categorical data G Gan, J Wu Acm Sigkdd Explorations Newsletter 6 (2), 87-94, 2004 | 120 | 2004 |
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 | 88 | 2015 |
A fuzzy subspace algorithm for clustering high dimensional data G Gan, J Wu, Z Yang Advanced Data Mining and Applications: Second International Conference, ADMA …, 2006 | 88 | 2006 |
Data Clustering in C++: an object-oriented approach G Gan Crc Press, 2011 | 57 | 2011 |
Subspace clustering with automatic feature grouping G Gan, MKP Ng Pattern Recognition 48 (11), 3703-3713, 2015 | 54 | 2015 |
Subspace Clustering using Affinity Propagation G Gan, MKP Ng Pattern Recognition 48 (4), 1451–1460, 2015 | 53 | 2015 |
Regression modeling for the valuation of large variable annuity portfolios G Gan, EA Valdez North American Actuarial Journal 22 (1), 40-54, 2018 | 52 | 2018 |
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 | 44 | 2005 |
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 | 42 | 2017 |
Valuation of large variable annuity portfolios: Monte Carlo simulation and synthetic datasets G Gan, EA Valdez Dependence Modeling 5, 354-374, 2017 | 36 | 2017 |
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 | 35 | 2016 |
Application of metamodeling to the valuation of large variable annuity portfolios G Gan 2015 Winter simulation conference (WSC), 1103-1114, 2015 | 34 | 2015 |
Data clustering with actuarial applications G Gan, EA Valdez North American Actuarial Journal 24 (2), 168-186, 2020 | 33 | 2020 |
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 | 32 | 2017 |