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检索条件"主题词=clustering algorithms"
51242 条 记 录,以下是311-320 订阅
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Auto-encoder based clustering algorithms for intuitionistic fuzzy sets
Auto-encoder based clustering algorithms for intuitionistic ...
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International Conference on Intelligent System and Knowledge Engineering, ISKE
作者: Yimin Du Guixing Wu Guolin Tang School of Software Engineering University of Science and Technology of China Hefei China School of Economics and Management Beijing University of Technology Beijing China
clustering plays an important role in data mining and machine learning. Then, intuitionistic fuzzy sets (IFSs) are flexible and practical in dealing with vagueness and uncertainty problems. To cluster the information ... 详细信息
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Use of clustering algorithms and extreme learning machine in determining arrhythmia types
Use of clustering algorithms and extreme learning machine in...
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IEEE Signal Processing and Communications Applications (SIU)
作者: Ebru Sayilgan Özlem Karabıber Cura Yalçın İşler Biyomedikal Teknolojiler Anabilim Dalı İzmir Katip Çelebi Üniversitesi İzmir Türkiye Biyomedikal Mühendisliği Bölümü İzmir Katip Çelebi Üniversitesi İzmir Türkiye
This study examined the electrocardiographic data set recorded by Boston's Beth Israel Hospital for the work of the cardiac and neurotransmitter system and for normal and various irregular heartbeat patterns of el... 详细信息
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Using Multiple clustering algorithms to Generate Constraint Rules and Create Consensus Clusters
Using Multiple Clustering Algorithms to Generate Constraint ...
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Brazilian Conference on Intelligent Systems (BRACIS)
作者: Gabriel Rodrigues da Silva Marcelo Keese Albertini Science and Technology of Triângulo Mineiro Federal Institute of Education Uberlândia Brazil Federal University of Uberlândia Uberlândia Brazil
Data clustering techniques is used for aiding knowledge discovery when no additional information is available. There are several clustering techniques which produce reasonable results, although they often produce qual... 详细信息
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A family of metrics for clustering algorithms
arXiv
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arXiv 2017年
作者: Alexander, Clark Sofya Akhmametyeva Nousot Applied Research Group
We give the motivation for scoring clustering algorithms and a metric M: A → N from the set of clustering algorithms to the natural numbers which we realize as (Equation Presented) where αi, βi, wi are parameters u... 详细信息
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Performance Evaluation of Mahout clustering algorithms Using a Twitter Streaming Dataset
Performance Evaluation of Mahout Clustering Algorithms Using...
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International Conference on Advanced Information Networking and Applications (AINA)
作者: Fatos Xhafa Adriana Bogza Santi Caballé Universitat Politècnica de Catalunya Barcelona Spain Universitat Oberta de Catalunya Barcelona Spain
Big Data has become commonplace in most Internet-based applications, which by delivering services to planetary scale numbers of users generate very large data sets. Such data sets are considered as a valuable source o... 详细信息
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Hierarchical clustering algorithms with automatic estimation of the number of clusters
Hierarchical clustering algorithms with automatic estimation...
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Joint World Congress of International Fuzzy Systems Association and International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS)
作者: Ryosuke Abe Sadaaki Miyamoto Yasunori Endo Yukihiro Hamasuna Master's Program in Risk Engineering University of Tsukuba Tsukuba Ibaraki Japan University of Tsukuba Tsukuba Ibaraki Japan Department of Informatics Kinki University Osaka Japan
The problem of estimating appropriate number of clusters has been a main and difficult issue in clustering researches. There are different methods for this in hierarchical clustering; a typical approach is to try clus... 详细信息
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A Novel Approach to clustering algorithms and Their Comparative Performance Analysis on Different Data Set
A Novel Approach to Clustering Algorithms and Their Comparat...
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International Conference on Next Generation Computing and Information Systems (ICNGCIS)
作者: Manish Lamba Sagarjit Dash Atul Singh Jamwal Department of Computer Science Model Institute of Engineering and Technology Jammu J&K India
K-means is the basic algorithm used for discovering clusters within a dataset. Methods to enhance the k-means clustering algorithm are discussed. With the help of these methods efficiency, accuracy, performance and co... 详细信息
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Evidence-Based Trust Mechanism Using clustering algorithms for Distributed Storage Systems (Short Paper)
Evidence-Based Trust Mechanism Using Clustering Algorithms f...
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Annual Conference on Privacy, Security and Trust, PST
作者: Giulia Traverso Carlos Garcia Cordero Mehrdad Nojoumian Reza Azarderakhsh Denise Demirel Sheikh Mahbub Habib Johannes Buchmann Technical University of Darmstadt (Germany) Florida Atlantic University Boca Raton FL US
In distributed storage systems, documents are shared among multiple Cloud providers and stored within their respective storage servers. In social secret sharing-based distributed storage systems, shares of the documen... 详细信息
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Two provably consistent divide and conquer clustering algorithms for large networks
arXiv
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arXiv 2017年
作者: Mukherjee, Soumendu Sundar Sarkar, Purnamrita Bickel, Peter J. Department of Statistics University of California Berkeley United States Department of Statistics and Data Sciences University of Texas Austin United States
In this article, we advance divide-and-conquer strategies for solving the community detection problem in networks. We propose two algorithms which perform clustering on a number of small subgraphs and finally patches ... 详细信息
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Estimating the Number of Clusters Based on Sequential clustering algorithms  5
Estimating the Number of Clusters Based on Sequential Cluste...
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5th Brazilian Conference on Intelligent Systems (BRACIS)
作者: Real, Eduardo Machado Univ Estadual Mato Grosso do Sul UEMS Nova Andradina MS Brazil
The main goal of clustering algorithms is to organize a given set of data patterns into groups (clusters) and their main strategy is to group patterns based on their similarity. However, some clustering algorithms als... 详细信息
来源: 评论