Search Results - "supervised clustering algorithm"

Validating the Utility of Supervised Clustering Algorithm for Precise [ 11 C]DPA-713 PET Brain Image Quantification by Lee, Youjin, Nguyen, Thanh D, Du, Yong, Coughlin, Jennifer M, Zein, Sara A, Karakatsanis, Nicolas A, Nehmeh, Sadek, Pomper, Martin G, Gauthier, Susan A, Kang, Yeona

“… To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative…”
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Stratification-based semi-supervised clustering algorithm for arbitrary shaped datasets by Wang, Fei, Li, Le, Liu, Zhiqiang

“… Semi-supervised clustering algorithms designed based on Kmeans, such as the classical Seeded-Kmeans and Constrained-Kmeans, where supervision information is used to guide clustering iterations…”
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A Novel Supervised Clustering Algorithm for Transportation System Applications by Almannaa, Mohammed H., Elhenawy, Mohammed, Rakha, Hesham A.

“…This paper proposes a novel supervised clustering algorithm to analyze large datasets…”
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Self-supervised clustering algorithm based on hierarchy of local density clusters and constraint propagation by Long, Zhiguo, Feng, Xiaofei, Luo, Rong, Chen, Yuxu

“… However, the current self-supervised clustering algorithms lack explicit consideration of the structural information of data, missing some critical supervised constraints that are crucial…”
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RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data by Schmidt, Florian, Ranjan, Bobby, Lin, Quy Xiao Xuan, Krishnan, Vaidehi, Joanito, Ignasius, Honardoost, Mohammad Amin, Nawaz, Zahid, Venkatesh, Prasanna Nori, Tan, Joanna, Rayan, Nirmala Arul, Ong, Sin Tiong, Prabhakar, Shyam

“…Abstract The transcriptomic diversity of cell types in the human body can be analysed in unprecedented detail using single cell (SC) technologies. Unsupervised…”
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SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks by Li, Xiang, Wu, Yao, Ester, Martin, Kao, Ben, Wang, Xin, Zheng, Yudian

“…A heterogeneous information network (HIN) is one whose nodes model objects of different types and whose links model objects' relationships. To enrich its…”
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A new semi-supervised clustering algorithm for probability density functions and applications by Nguyen-Trang, Thao, Nguyen-Hoang, Yen, Vo-Van, Tai

“…Semi-supervised clustering has gained significant attention from researchers due to its advantages over unsupervised clustering. However, existing studies have…”
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Image-Derived Input Function Derived from a Supervised Clustering Algorithm: Methodology and Validation in a Clinical Protocol Using [11C](R)-Rolipram by Lyoo, Chul Hyoung, Zanotti-Fregonara, Paolo, Zoghbi, Sami S., Liow, Jeih-San, Xu, Rong, Pike, Victor W., Zarate, Carlos A., Fujita, Masahiro, Innis, Robert B.

“… To overcome this limitation, we developed a fully automated technique for deriving IDIF with a supervised clustering algorithm (SVCA…”
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A Semi-Supervised Clustering Algorithm for Underground Disaster Monitoring and Early Warning by Gong, Qiang, Ma, Shilun, Zhang, Ning, Liu, Hongliang, Gao, Huaxin, Zhao, Yue, Jiang, Xinbo, Tu, Wenfeng, Chen, Changyuan, Yang, Fan

“… In order to achieve real-time monitoring and early warning for tunnel safety, this paper proposes a semi-supervised clustering algorithm, named SSCME…”
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Active Semi-Supervised Clustering Algorithm for Multi-Density Datasets by Atwa, Walid, Almazroi, Abdulwahab Ali, Aldhahr, Eman A., Janbi, Nourah Fahad

“…Semi-supervised clustering with pairwise constraints has been a hot topic among researchers and experts. However, the problem becomes quite difficult to manage…”
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LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes by Liu, Qiaoming, Liang, Yingjian, Wang, Dong, Li, Jie

“…The identification of cell types in complex tissues is an important step in research into cellular heterogeneity in disease. We present a linear fast…”
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Semi-supervised clustering algorithm for community structure detection in complex networks by Ma, Xiaoke, Gao, Lin, Yong, Xuerong, Fu, Lidong

“…Discovering a community structure is fundamental for uncovering the links between structure and function in complex networks. In this paper, we discuss an…”
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Validating the Utility of Supervised Clustering Algorithm for Precise 11CDPA-713 PET Brain Image Quantification by Lee, Youjin, Nguyen, Thanh D, Du, Yong, Coughlin, Jennifer M, Zein, Sara A, Karakatsanis, Nicolas A, Nehmeh, Sadek, Pomper, Martin G, Gauthier, Susan A, Kang, Yeona

“… To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative…”
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MSC-CSMC: A multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints for gene expression data by Wang, Zeyuan, Gu, Hong, Zhao, Minghui, Li, Dan, Wang, Jia

“… To this end, the research proposes a new multi-objective semi-supervised clustering algorithm based on constraints selection and multi-source constraints (MSC-CSMC…”
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Semi-supervised Clustering Algorithm for Retention Time Alignment of Gas Chromatographic Data by Hamadi, Omar Péter, Varga, Tamás

“…Gas chromatography (GC) is an effective tool for the analysis of complex mixtures with a huge number of components. To keep tracking the chemical changes…”
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Multi-objective semi-supervised clustering algorithm based on constraint set optimization for gene expression data by Zhao, Minghui, Li, Dan

“… Mining effective and noiseless supervised information and applying it to semi-supervised clustering algorithms can improve gene clustering performance…”
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Research on 3D face recognition method in cloud environment based on semi supervised clustering algorithm by Li, Cuixia, Tan, Yingjun, Wang, Dingbiao, Ma, Peijie

“… in cloud environment based on semi supervised clustering algorithm is proposed in this paper, after Harris feature points of successful matching of a 2D image are mapped into 3D space, surface fitting…”
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A semi-supervised clustering algorithm for real network traffic with concept drift by Hua, Qu, Jie, Jiang, Jihong, Zhao, Yanpeng, Zhang

“… In this paper, we propose a new strategy for the semi-supervised clustering algorithm to deal the concept drift in a dynamic network, as well as updating the model incrementally…”
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Image-Derived Input Function Derived from a Supervised Clustering Algorithm: Methodology and Validation in a Clinical Protocol Using [.sup.11C] by Lyoo, Chul Hyoung, Zanotti-Fregonara, Paolo, Zoghbi, Sami S, Liow, Jeih-San, Xu, Rong, Pike, Victor W, Zarate, Carlos A, Fujita, Masahiro, Innis, Robert B

“… To overcome this limitation, we developed a fully automated technique for deriving IDIF with a supervised clustering algorithm (SVCA…”
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A new semi-supervised clustering algorithm with pairwise constraints by competitive agglomeration by Gao, Cui-Fang, Wu, Xiao-Jun

“…Recently semi-supervised fuzzy clustering with pairwise constraints was developed, in which the disagreement on the magnitude order between penalty cost…”
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