SIMULTANEOUS MODEL FOR CLUSTERING AND INTRA-GROUP FEATURE SELECTION

SIMULTANEOUS MODEL FOR CLUSTERING AND INTRA-GROUP FEATURE SELECTION

Ph.D

Saved in:

書目詳細資料
主要作者:	YUAN YANCHENG
其他作者:	MATHEMATICS
格式:	Theses and Dissertations
語言:	English
出版:	2020
主題:	Convex Clustering, Machine Learning, Numerical Optimization, Semismooth Newthon Method, Augmented Lagragian Algorithm
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/164852
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

EFFICIENT SECOND-ORDER ALGORITHMS FOR STRUCTURED CONVEX COMPOSITE PROGRAMMING
由: LIN MEIXIA
出版: (2020)

A Semismooth Newton-CG Augmented Lagrangian Method for Large Scale Linear and Convex Quadratic SDPS
由: ZHAO XINYUAN
出版: (2010)

Smooth convex approximation and its applications
由: SHI SHENGYUAN
出版: (2010)

On methods for solving nonlinear semidefinite optimization problems
由: Sun, J.
出版: (2014)

An inexact accelerated proximal gradient method for large scale linearly constrained convex SDP
由: Jiang, K., et al.
出版: (2014)

Correlation stress testing for value-at-risk: An unconstrained convex optimization approach
由: Qi, H., et al.
出版: (2014)

A newton-cg augmented lagrangian method for semidefinite programming
由: Zhao, X.-Y., et al.
出版: (2014)

An augmented Lagrangian dual approach for the H-weighted nearest correlation matrix problem
由: Qi, H., et al.
出版: (2014)

Optimal Decentralized Control for Uncertain Systems by Symmetric Gauss-Seidel Semi-Proximal ALM
由: Ma, Jun, et al.
出版: (2020)

Semismooth Newton methods for solving semi-infinite programming problems
由: Qi, L., et al.
出版: (2016)

Attributes scaling for K-means algorithm controlled by misclassification of all clusters
由: Wacharasak Siriseriwan
出版: (2008)

A hybrid stochastic-deterministic minibatch proximal gradient method for efficient optimization and generalization
由: ZHOU, Pan, et al.
出版: (2021)

A fast algorithm for convex hull extraction in 2D images
由: Ye, Q.-Z.
出版: (2014)

Document clustering on target entities using persons and organizations
由: KEI JEHN MING, JEREMY RAPHAEL
出版: (2010)

Simultaneous spatial and spectral low-rank representation of hyperspectral images for classification
由: Mei, Shaohui, et al.
出版: (2020)

Faster first-order methods for stochastic non-convex optimization on Riemannian manifolds
由: ZHOU, Pan, et al.
出版: (2019)

AUGMENTED LAGRANGIAN METHODS FOR A CLASS OF LARGE-SCALE CONIC PROGRAMMING
由: LIANG LING
出版: (2021)

EFFICIENT ALGORITHMS FOR LEAST SQUARES SEMIDEFINITE PROGRAMMING AND SEMIDEFINITE PROGRAMMING WITH A LARGE NUMBER OF CONSTRAINTS
由: YANG LIUQIN
出版: (2015)

A Penalty Method for Correlation Matrix Problems with Prescribed Constraints
由: CHEN XIAOQUAN
出版: (2011)

Intelligent detection of dynamic cracking along an interface of brittle material using high-speed photography assisted by data augmentation and machine learning
由: Tie, Jiahao, et al.
出版: (2024)

Sparse Coding Based Image Restoration and Recognition: Algorithms and Analysis
由: BAO CHENGLONG
出版: (2014)

Difference of convex functions programming for policy optimization in reinforcement learning
由: KUMAR, Akshat
出版: (2024)

A hybrid learning strategy for the control of window blinds
由: Raphael, B.
出版: (2014)

Hybrid and adaptive genetic fuzzy clustering algorithms
由: LIU MING
出版: (2010)

ADVANCES IN COOPERATON TECHNIQUES FOR WIRELESS COMMUNICATION NETWORKS
由: GUO YINGHAO
出版: (2017)

Randomized gradient-free distributed online optimization via a dynamic regret analysis
由: Pang, Yipeng, et al.
出版: (2023)

DCT: An scalable multi-objective module clustering tool
由: TARCHETTI, Ana Paula M., et al.
出版: (2020)

The use of clustering algorithms to prevent future office-related MSDs
由: Castro, Roselle Franchesca B.
出版: (2021)

Convex incremental extreme learning machine
由: Huang, G.-B., et al.
出版: (2013)

Predicting high-level student responses using conceptual clustering
由: Legaspi, Roberto S., et al.
出版: (2005)

Graphs, Clustering and applications
由: DERRY TANTI WIJAYA
出版: (2019)

Recursive self organizing maps with hybrid clustering
由: Ramanathan, K., et al.
出版: (2014)

Tune Up Fuzzy C-Means for Big Data: Some Novel Hybrid Clustering Algorithms Based on Initial Selection and Incremental Clustering
由: Le, Hoang Son, et al.
出版: (2019)

A New Solution Method for Solving Transit Assignment Problems
由: Le, Luong Vuong, et al.
出版: (2020)

Using cluster validation criterion to identify optimal feature subset and cluster number for document clustering
由: Niu, Z.-Y., et al.
出版: (2013)

A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
由: Feng, L., et al.
出版: (2013)

Online learning: A comprehensive survey
由: HOI, Steven C. H., et al.
出版: (2021)

Solving karush-kuhn-tucker systems via the trust region and the conjugate gradient methods
由: Qi, H., et al.
出版: (2014)

A feasible semismooth asymptotically Newton method for mixed complementarity problems
由: Sun, D., et al.
出版: (2014)

A quadratically convergent newton method for computing the nearest correlation matrix
由: Qi, H., et al.
出版: (2014)