Search Results - "Clustering algorithms"

Clustering algorithms: A comparative approach by Rodriguez, Mayra Z., Comin, Cesar H., Casanova, Dalcimar, Bruno, Odemir M., Amancio, Diego R., Costa, Luciano da F., Rodrigues, Francisco A.

“…Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) of machine learning methods in practical…”
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Survey of clustering algorithms by Rui Xu, Wunsch, D.

“… We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman…”
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A survey of density based clustering algorithms by BHATTACHARJEE, Panthadeep, MITRA, Pinaki

“…Density based clustering algorithms (DBCLAs) rely on the notion of density to identify clusters of arbitrary shapes, sizes with varying densities…”
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Comprehensive survey on hierarchical clustering algorithms and the recent developments by Ran, Xingcheng, Xi, Yue, Lu, Yonggang, Wang, Xiangwen, Lu, Zhenyu

“…Data clustering is a commonly used data processing technique in many fields, which divides objects into different clusters in terms of some similarity measure…”
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Multi-view neutrosophic c-means clustering algorithms by Liu, Zhe, Qiu, Haoye, Deveci, Muhammet, Pedrycz, Witold, Siarry, Patrick

“… However, existing multi-view clustering algorithms still encounter challenges since most multi-view data do not exhibit clear cluster boundaries, meaning cluster boundaries may locally overlap…”
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Density peak clustering algorithms: A review on the decade 2014–2023 by Wang, Yizhang, Qian, Jiaxin, Hassan, Muhammad, Zhang, Xinyu, Zhang, Tao, Yang, Chao, Zhou, Xingxing, Jia, Fengjin

“…Density peak clustering (DPC) algorithm has become a well-known clustering method during the last decade, The research communities believe that DPC is a…”
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K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data by Ikotun, Abiodun M., Ezugwu, Absalom E., Abualigah, Laith, Abuhaija, Belal, Heming, Jia

“… and straightforward clustering algorithm. The broad applicability of the algorithm in many clustering application areas can be attributed to its implementation simplicity and low computational complexity…”
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A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects by Ezugwu, Absalom E., Ikotun, Abiodun M., Oyelade, Olaide O., Abualigah, Laith, Agushaka, Jeffery O., Eke, Christopher I., Akinyelu, Andronicus A.

“… However, there has been a gradual shift in the choice of clustering methods among domain experts and practitioners alike, which is precipitated by the fact that most traditional clustering algorithms…”
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Ultrafast clustering algorithms for metagenomic sequence analysis by Li, W., Fu, L., Niu, B., Wu, S., Wooley, J.

“…The rapid advances of high-throughput sequencing technologies dramatically prompted metagenomic studies of microbial communities that exist at various…”
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Optimized Clustering Algorithms for Large Wireless Sensor Networks: A Review by Wohwe Sambo, Damien, Yenke, Blaise Omer, Förster, Anna, Dayang, Paul

“…During the past few years, Wireless Sensor Networks (WSNs) have become widely used due to their large amount of applications. The use of WSNs is an imperative…”
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Multi-omic and multi-view clustering algorithms: review and cancer benchmark by Rappoport, Nimrod, Shamir, Ron

“…Abstract Recent high throughput experimental methods have been used to collect large biomedical omics datasets. Clustering of single omic datasets has proven…”
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Data Clustering: Algorithms and Applications by Aggarwal, Charu C., Reddy, Chandan K.

“…In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering…”
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A review of moving object trajectory clustering algorithms by Yuan, Guan, Sun, Penghui, Zhao, Jie, Li, Daxing, Wang, Canwei

“… To provide an overview, we survey and summarize the development and trend of moving object clustering and analyze typical moving object clustering algorithms presented in recent years…”
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Fundamental clustering algorithms suite by Thrun, Michael C., Stier, Quirin

“…The article presents immediate access to over fifty fundamental clustering algorithms…”
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A comparison of clustering algorithms for automatic modulation classification by Mouton, Jacques P., Ferreira, Melvin, Helberg, Albertus S.J.

“…•Clustering algorithms are compared for Automatic Modulation Classification.•An enhanced classification method is proposed and compared to other popular methods…”
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Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks by Qiao, Cheng, Brown, Kenneth N., Zhang, Fan, Tian, Zhihong

“… This paper presents an adaptive asynchronous distributed clustering algorithm and two centralised methods for agents in wireless network to learn the global models, while the privacy is protected…”
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Benchmarking clustering algorithms on estimating the number of cell types from single-cell RNA-sequencing data by Yu, Lijia, Cao, Yue, Yang, Jean Y. H., Yang, Pengyi

“… Various scRNA-seq data clustering algorithms have been specifically designed to automatically estimate the number of cell types through optimising the number of clusters in a dataset…”
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Space–time series clustering: Algorithms, taxonomy, and case study on urban smart cities by Belhadi, Asma, Djenouri, Youcef, Nørvåg, Kjetil, Ramampiaro, Heri, Masseglia, Florent, Lin, Jerry Chun-Wei

“…This paper provides a short overview of space–time series clustering, which can be generally grouped into three main categories such as: hierarchical,…”
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Spectrum Sensing, Clustering Algorithms, and Energy-Harvesting Technology for Cognitive-Radio-Based Internet-of-Things Networks by Fernando, Xavier, Lăzăroiu, George

“…The aim of this systematic review was to identify the correlations between spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet of things (IoT…”
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Sparsity-Aware Possibilistic Clustering Algorithms by Xenaki, Spyridoula D., Koutroumbas, Konstantinos D., Rontogiannis, Athanasios A.

“…In this paper, two novel possibilistic clustering algorithms are presented, which utilize the concept of sparsity…”
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