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Automatic Data Clustering Based Mean Best Artificial Bee Colony Algorithm

Computers, Materials & Continua 2021年第8期68卷 1575-1593页

作者： Ayat Alrosan Waleed Alomoush Mohammed Alswaitti Khalid Alissa Shahnorbanun Sahran Sharif Naser Makhadmeh Kamal Alieyan Deanship of Information and Communication Technology Imam Abdulrahman bin Faisal UniversityDammamSaudi Arabia Computer Department Imam Abdulrahman bin Faisal UniversityDammamSaudi Arabia School of Electrical and Computer Engineering Department of Information and Communication TechnologyXiamen University MalaysiaSepang43900Malaysia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman bin Faisal UniversityDammamSaudi Arabia Center for Artificial Intelligence Technology(CAIT) Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiMalaysia School of Computer Sciences Universiti Sains Malaysia11800PenangMalaysia Faculty of Computer Sciences and Informatics Amman Arab UniversityAmmanJordan

Fuzzy C-means(FCM)is a clustering method that falls under unsupervised machine *** main issues plaguing this clustering algorithm are the number of the unknown clusters within a particular dataset and initialization sensitivity of cluster *** Bee Colony(ABC)is a type of swarm algorithm that strives to improve the members’solution quality as an iterative process with the utilization of particular kinds of ***,ABC has some weaknesses,such as balancing exploration and *** improve the exploration process within the ABC algorithm,the mean artificial bee colony(MeanABC)by its modified search equation that depends on solutions of mean previous and global best is ***,to solve the main issues of FCM,Automatic clustering algorithm was proposed based on the mean artificial bee colony called(AC-MeanABC).It uses the MeanABC capability of balancing between exploration and exploitation and its capacity to explore the positive and negative directions in search space to find the best value of clusters number and centroids value.A few benchmark datasets and a set of natural images were used to evaluate the effectiveness of *** experimental findings are encouraging and indicate considerable improvements compared to other state-of-the-art approaches in the same domain.

关键词： Artificial bee colony automatic clustering natural images validity index number of clusters

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Contributions to Hom-Schunck optical flow equations-part I： Stability and rate of convergence of classical algorithm

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Journal of Central South University 2013年第7期20卷 1909-1918页

作者： DONG Guo-hua AN Xiang-jing FANG Yu-qiang HU De-wen College of Mechatronics and Automation National University of Defense Technology Changsha 410073 China

Globally exponential stability （which implies convergence and uniqueness） of their classical iterative algorithm is established using methods of heat equations and energy integral after embedding the discrete iteration into a continuous flow. The stability condition depends explicitly on smoothness of the image sequence, size of image domain, value of the regularization parameter, and finally discretization step. Specifically, as the discretization step approaches to zero, stability holds unconditionally. The analysis also clarifies relations among the iterative algorithm, the original variation formulation and the PDE system. The proper regularity of solution and natural images is briefly surveyed and discussed. Experimental results validate the theoretical claims both on convergence and exponential stability.

关键词： optical flow Hom-Schunck equations globally exponential stability convergence convergence rate heat equations energy integral and estimate Gronwall inequality natural images regularity

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The natural Imagery in the Zhuangzh A Preliminary Study

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Frontiers of Literary Studies in China-Selected Publications from Chinese Universities 2013年第1期7卷 65-86页

作者： Chun Liu Department of English Peking University Beijing 100871 China

This essay presents a preliminary examination of the use of natural imagery in the Inner Chapters of the Zhuangzi. The essay analyzes the characteristics of this imagery and the possible reasons for Zhuangzi＇s particular use of fantastic language, exaggeration, and fiction in connection with natural images. In doing so, I also compare the Zhuangzi with several important classical Chinese and Greek texts. In addition, I explore the possible motivations for and influence exerted by Zhuangzi＇s use of natural imagery. The essay aims to demonstrate that an analysis of the roles played by natural imagery in the Zhuangzi contributes significantly to our understanding of the work as a whole, as well as its abiding influence on later works.

关键词： the Zhuangzi natural images Chu culture transformation exaggeration allegory

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