A Genetic Parameter Selection Algorithm in Kernel Principal Components Analysis

doi:10.3969/j.issn.1006-2475.2011.11.001

Computer and Modernization ›› 2011, Vol. 1 ›› Issue (11): 1-2.doi: 10.3969/j.issn.1006-2475.2011.11.001

• 算法分析与设计 • Next Articles

A Genetic Parameter Selection Algorithm in Kernel Principal Components Analysis

CHEN Jiang-hong, ZHANG Yuan-yuan

College of Science, China Three Gorges University, Yichang 443002, China

Received:2011-09-23 Revised:1900-01-01 Online:2011-11-28 Published:2011-11-28

Abstract

Abstract: Kernel principal component analysis can extract the nonlinear features of the data, but the performance is great impacted by the parameter of kernel function. This paper presents a kernel parameters optimization method which based on a piecewise binary encoding. The experimental results are very good by using the approach to optimize the kernel parameters in the case of unknown the distribution of the data, which indicating the effectiveness of the method.

Key words: kernel principal components analysis, feature spaces, genetic algorithm

CHEN Jiang-hong;ZHANG Yuan-yuan. A Genetic Parameter Selection Algorithm in Kernel Principal Components Analysis[J]. Computer and Modernization, 2011, 1(11): 1-2.

[1]	LIU Xian-zhuo, DENG Wei-si, XIE En-yan. Adaptive Protection System for Distribution Network Considering Grid Connection of Distributed Generation [J]. Computer and Modernization, 2023, 0(09): 120-126.
[2]	ZHANG Zhi-xia, XIE Bao-qiang. Natural Gas Load Forecasting Based on FCGA-LSTM and Transfer Learning [J]. Computer and Modernization, 2023, 0(07): 7-12.
[3]	WANG Min, XU Ying-hao, ZHU Xi-jun. Prediction Model of Diabetic Complications Based on BP Neural Network Optimized by Improved Genetic Algorithm#br# [J]. Computer and Modernization, 2022, 0(11): 69-74.
[4]	WANG Yang, CHEN Mei, LI Hui. FOCoR: A Course Recommendation Approach Based on Feature Selection Optimization [J]. Computer and Modernization, 2022, 0(10): 1-7.
[5]	RAN Hao-jie, WANG Hong-zhi. Distribution Center Site Selection of Fresh Agricultural Products Based on Improved Simulated Annealing Algorithm [J]. Computer and Modernization, 2022, 0(10): 36-40.
[6]	ZHAN Jun-wei, ZHUANG Yi. Mobile Edge Computing Task Offloading Model and Algorithm Based on Energy Consumption and Delay Optimization [J]. Computer and Modernization, 2022, 0(08): 86-93.
[7]	WU Dai-yang, ZHAO Jie, LIANG Jia-ming, DONG Zhen-ning, LIANG Zhou-yang. Host Matching for C2C Online Short-term Rentals [J]. Computer and Modernization, 2022, 0(06): 43-48.
[8]	XU Sheng-chao, XIONG Mao-hua. Optimization of Container Cloud Resource Allocation Based on Genetic Algorithm [J]. Computer and Modernization, 2022, 0(01): 108-112.
[9]	XU Ming, ZHANG Jian-ming, CHEN Song-hang, CHEN Hao. Multi-objective Optimization Algorithm for Flexible Job Shop Scheduling Problem [J]. Computer and Modernization, 2021, 0(12): 1-6.
[10]	ZHANG Lin-peng, WANG Xi-yuan, LI Qiang. Image Classification Based on Double-pooling Feature Weighted Convolutional Neural Network [J]. Computer and Modernization, 2021, 0(11): 67-71.
[11]	YANG Xiao-dong. Risk Assessment Model of Accounting Resource Sharing Management Based on Genetic Algorithm [J]. Computer and Modernization, 2021, 0(06): 24-28.
[12]	LIU Jun, PENG Hui-xian, HUANG Bin, Tony SHAY. Breast Cancer Diagnosis Model Based on BP-GamysBoost [J]. Computer and Modernization, 2021, 0(04): 8-14.
[13]	XU Sheng-chao. Using Genetic Algorithm for Virtual Machine Placement Optimization [J]. Computer and Modernization, 2020, 0(12): 25-31.
[14]	WU Hai-wei, WANG Xiao-zhong, ZHU Fa-shun, . A Scheduling Method of Smart Grid Based on Genetic Algorithm [J]. Computer and Modernization, 2020, 0(09): 122-126.
[15]	ZHANG Zhi-wei, GAN Gang. Service Vulnerability Mining of Android System Based on Genetic Algorithm [J]. Computer and Modernization, 2020, 0(08): 114-121.

A Genetic Parameter Selection Algorithm in Kernel Principal Components Analysis

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments