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检索条件"主题词=K-Means Clustering Algorithm"
398 条 记 录,以下是371-380 订阅
排序:
Applying Hybrid kEPSO clustering to Web Pages  10
Applying Hybrid KEPSO Clustering to Web Pages
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48th ACM Annual Southeast Regional Conference (SE)
作者: Moh, Teng-Sheng Sabnis, Ameya San Jose State Univ Dept Comp Sci San Jose CA 95192 USA
Various optimization methods are used along with the standard clustering algorithms to make the clustering process simpler and quicker. In this paper we propose a new hybrid technique of clustering known as k-Evolutio... 详细信息
来源: 评论
Internet Public Opinion Hotspot Detection Research Based on k-means algorithm
Internet Public Opinion Hotspot Detection Research Based on ...
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1st International Conference on Swarm Intelligence
作者: Liu, Hong Li, Xiaojun Zhejiang Gongshang Univ Coll Comp & Informat Engn Hangzhou 310018 Zhejiang Peoples R China
Internet is becoming a spreading platform for the public opinion. It is important to grasp the internet public opinion (IPO) in time and understand the trends of their opinion correctly. Text mining plays a fundamenta... 详细信息
来源: 评论
Optimal Locations of Remote Radio Units in CoMP Systems for Energy Efficiency
Optimal Locations of Remote Radio Units in CoMP Systems for ...
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IEEE 72nd Vehicular Technology Conference Fall 2010
作者: Zhang, Congqing Zhang, Tiankui Zeng, Zhimin Cuthbert, Laurie Xiao, Lin Beijing Univ Posts & Telecommun Sch Informat & Telecommun Engn Beijing 100088 Peoples R China Univ London Sch Elect Engn & Comp Sci London WC1E 7HU England
In coordinated multi-point transmission (CoMP) systems, the optimal remote radio unit (RRU) location is analyzed theoretically and a RRU location design scheme for energy efficiency in practical scenarios is given. An... 详细信息
来源: 评论
Ant Colony Optimization for the k-means algorithm in Image Segmentation  10
Ant Colony Optimization for the K-means Algorithm in Image S...
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48th ACM Annual Southeast Regional Conference (SE)
作者: Hung, Chih-Cheng Sun, Mojia Southern Polytech State Univ 1100 S Marietta Pkwy Marietta GA 30060 USA
In this paper the ant colony optimization (ACO) is used in the k-means algorithm for improving the image segmentation. The learning mechanism of this algorithm is formulated by using the ACO meta-heuristic. As the phe... 详细信息
来源: 评论
Semi-supervised Rough Cost/Benefit Decisions
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FUNDAMENTA INFORMATICAE 2009年 第2期94卷 233-244页
作者: Lingras, Pawan Chen, Min Miao, Duoqian St Marys Univ Dept Math & Comp Sci Halifax NS B3H 3C3 Canada Tongji Univ Sch Elect & Informat Engn Shanghai 201804 Peoples R China Jiao Tong Univ Minist Educ China Key Lab Embedded Syst & Serv Comp Shanghai 201804 Peoples R China
Most of the business decisions are based on cost and benefit considerations. Data mining techniques that make it possible for the businesses to incorporate financial considerations will be more meaningful to the decis... 详细信息
来源: 评论
An initialization method for the k-means algorithm using neighborhood model
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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2009年 第3期58卷 474-483页
作者: Cao, Fuyuan Liang, Jiye Jiang, Guang Shanxi Univ Sch Comp & Informat Technol Taiyuan 030006 Shanxi Peoples R China Minist Educ Key Lab Computat Intelligence & Chinese Informat Taiyuan 030006 Peoples R China Chinese Acad Sci Key Lab Intelligent Informat Proc Inst Comp Technol Beijing 100190 Peoples R China
As a simple clustering method, the traditional k-means algorithm has been widely discussed and applied in pattern recognition and machine learning. However, the k-means algorithm could not guarantee unique clustering ... 详细信息
来源: 评论
Application of an unsupervised artificial neural network technique to multivariant surface water quality data
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ECOLOGICAL RESEARCH 2009年 第1期24卷 163-173页
作者: Cinar, Oezer Merdun, Hasan Kahramanmaras Sutcu Imam Univ Fac Engn & Architecture Dept Environm Engn TR-46060 Kahramanmaras Turkey Kahramanmaras Sutcu Imam Univ Fac Agr Dept Agr Engn TR-46060 Kahramanmaras Turkey
Surface water contamination from agricultural and urban runoff and wastewater discharges from industrial and municipal activities is of major concern to people worldwide. Classical models can be insufficient to visual... 详细信息
来源: 评论
Effects of similarity metrics on document clustering
Effects of similarity metrics on document clustering
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作者: Veni, Rushikesh University of Nevada Las Vegas
学位级别:M.S.C.S.
Document clustering or unsupervised document classification is an automated process of grouping documents with similar content. A typical technique uses a similarity function to compare documents. In the literature, m... 详细信息
来源: 评论
Improved k-means clustering algorithm for exploring local protein sequence motifs representing common structural property
IEEE TRANSACTIONS ON NANOBIOSCIENCE
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IEEE TRANSACTIONS ON NANOBIOSCIENCE 2005年 第3期4卷 255-265页
作者: Zhong, W Altun, G Harrison, R Tai, PC Pan, Y Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA Georgia State Univ Dept Biol Atlanta GA 30303 USA
Information about local protein sequence motifs is very important to the analysis of biologically significant conserved regions of protein sequences. These conserved regions can potentially determine the diverse confo... 详细信息
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Modifying Genetic algorithm with Species and Sexual Selection by using k-means algorithm
Modifying Genetic Algorithm with Species and Sexual Selectio...
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IEEE International Advance Computing Conference
作者: Patel, Rahila Raghuwanshi, M. M. Jaiswal, Anil N. GHRCE CSE M Tech Sem 4 Nagpur Ms India GHRCE Nagpur Ms India NYSS Coll Engn & Res Nagpur Maharashtra India
Presently, the optimization concept plays an important role in the problems related to engineering management and commerce etc. Recent trends in optimization, points towards the genetic algorithm and evolutionary appr... 详细信息
来源: 评论