Výsledky vyhľadávania - "Proposed clustering algorithm"

A hybrid approach for text clustering Autor Ajmi Al-Shuwaili, Saad O., Obied Redywi, Sadiq, Naser, Mustafa A.

“…This paper deals with automatic clustering algorithm, which partitions a many of objects to get smaller sets (clusters). Where objects of the one set are…”
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Modifying the DPClus algorithm for identifying protein complexes based on new topological structures Autor Li, Min, Chen, Jian-er, Wang, Jian-xin, Hu, Bin, Chen, Gang

“… (or average vertex distance) and subgraph density. Following the approach of that of the previously proposed clustering algorithm DPClus which expands clusters starting from seeded vertices, we present a clustering algorithm IPCA…”
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Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors Autor Xie, Juanying, Gao, Hongchao, Xie, Weixin, Liu, Xiaohui, Grant, Philip W.

“…Clustering by fast search and find of Density Peaks (referred to as DPC) was introduced by Alex Rodríguez and Alessandro Laio. The DPC algorithm is based on…”
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Spectral embedded generalized mean based k-nearest neighbors clustering with S-distance Autor Sharma, Krishna Kumar, Seal, Ayan

“…The spectral clustering algorithm is extensively employed in different aspects, especially in the field of pattern recognition. However, the efficient…”
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A linguistic hesitant fuzzy group decision-making method for sustainable human-robot collaboration Autor Zhang, Xuejiao, Yang, Yu, Chen, Qian, Wang, Jing

“… Subsequently, the Cloud Model is adopted to quantitatively transform the LHFSs, thereby providing support for the proposed clustering algorithm based on cognitive similarity, enabling it to divide…”
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Rapid analysis and classification of blue ballpoint pen inks using high-performance thin-layer chromatography and digital color analysis Autor Kravchenko, Anastasia V., Makeeva, Daria V., Tumkin, Ilya, Kalinichev, Andrey V.

“…Despite the rise of digitalization, the scrutiny of paper documents with stamps and signatures remains crucial, constituting 55–60 % of document examination…”
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Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy Autor Yaohui, Liu, Zhengming, Ma, Fang, Yu

“…Recently a density peaks based clustering algorithm (dubbed as DPC) was proposed to group data by setting up a decision graph and finding out cluster centers…”
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Fractional lion optimization for cluster head-based routing protocol in wireless sensor network Autor Sirdeshpande, Nandakishor, Udupi, Vishwanath

“…•Fractional lion (FLION) is developed for finding the energy efficient routing path.•A new fitness function is developed based on the five different…”
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A New Clustering Algorithm With Preference Adjustment Cost to Reduce the Cooperation Complexity in Large-Scale Group Decision Making Autor Wu, Tong, Liu, Xinwang, Qin, Jindong, Herrera, Francisco

“…In large-scale group decision making (LSGDM), appropriate clustering analysis is important to consensus reaching since it can reduce the interactive complexity…”
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Divisive hierarchical maximum likelihood clustering Autor Sharma, Alok, López, Yosvany, Tsunoda, Tatsuhiko

“…Background Biological data comprises various topologies or a mixture of forms, which makes its analysis extremely complicated. With this data increasing in a…”
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CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation Autor Golzari Oskouei, Amin, Hashemzadeh, Mahdi, Asheghi, Bahareh, Balafar, Mohammad Ali

“…The fuzzy c-means (FCM) algorithm is a popular method for data clustering and image segmentation. However, the main problem of this algorithm is that it is…”
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Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images Autor Lian, Chunfeng, Ruan, Su, Denoeux, Thierry, Li, Hua, Vera, Pierre

“…While the accurate delineation of tumor volumes in FDG-positron emission tomography (PET) is a vital task for diverse objectives in clinical oncology, noise…”
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Clustering analysis using an adaptive fused distance Autor Sharma, Krishna Kumar, Seal, Ayan

“…The selection of a proper distance function is crucial for analyzing the data efficiently. To find an appropriate distance for clustering algorithm is an…”
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Distributed Dynamic Clustering Algorithm for Formation of Heterogeneous Virtual Power Plants Based on Power Requirements Autor Zhang, Runfan, Hredzak, Branislav

“…Real-time distributed clustering algorithm for aggregation of distributed energy storage systems into heterogeneous virtual power plants is proposed. Two types…”
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Quantifying the CVD-grown two-dimensional materials via image clustering Autor Li, Zebin, Lee, Jihea, Yao, Fei, Sun, Hongyue

“…Machine learning (ML) techniques have been recently employed to facilitate the development of novel two-dimensional (2D) materials. Among various synthesis…”
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A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering Autor Deng, Jiangzhou, Guo, Junpeng, Wang, Yong

“…Data sparsity is a widespread problem of collaborative filtering (CF) recommendation algorithms. However, some common CF methods cannot adequately utilize all…”
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Multi-Layer Blockchain-Based Security Architecture for Internet of Things Autor Honar Pajooh, Houshyar, Rashid, Mohammad, Alam, Fakhrul, Demidenko, Serge

“…The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such…”
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Cluster analysis of PM2.5 pollution in China using the frequent itemset clustering approach Autor Zhang, Liankui, Yang, Guangfei

“…In recent years, severe air pollution has frequently occurred in China at the regional scale. The clustering method to define joint control regions is an…”
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Visual Kinship Recognition of Families in the Wild Autor Robinson, Joseph P., Shao, Ming, Wu, Yue, Liu, Hongfu, Gillis, Timothy, Fu, Yun

“… with existing FIW data, for the proposed clustering algorithm that generated label proposals for all newly added data-both processes are shared and compared in depth, showing great savings in time…”
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A distributed decision framework for building clusters with different heterogeneity settings Autor Jafari-Marandi, Ruholla, Hu, Mengqi, Omitaomu, OluFemi A.

“…•A self-organizing map based clustering algorithm is developed.•A homogeneity index is proposed to quantitatively evaluate building clusters.•A genetic…”
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