Výsledky vyhledávání - supervised clustering algorithm

Validating the Utility of Supervised Clustering Algorithm for Precise [ 11 C]DPA-713 PET Brain Image Quantification Autor 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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Image-Derived Input Function Derived from a Supervised Clustering Algorithm: Methodology and Validation in a Clinical Protocol Using [11C](R)-Rolipram Autor 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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Multiple kernel approach to semi-supervised fuzzy clustering algorithm for land-cover classification Autor Mai, Sinh Dinh, Ngo, Long Thanh

“… In this paper, we proposed a semi-supervised clustering method based fuzzy c-means algorithm using multiple kernel technique, called SMKFCM, in which the rudimentary centroids are directly used…”
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Semi-Supervised Clustering-Based DANA Algorithm for Data Gathering and Disease Detection in Healthcare Wireless Sensor Networks (WSN) Autor Sinha, Anurag, Aljrees, Turki, Pandey, Saroj Kumar, Kumar, Ankit, Banerjee, Pallab, Kumar, Biresh, Singh, Kamred Udham, Singh, Teekam, Jha, Pooja

“… The proposed strategy leverages the DANA (data aggregation using neighborhood analysis) algorithm and a semi-supervised clustering-based model to enhance the precision and effectiveness of data collection in healthcare WSNs…”
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Stratification-based semi-supervised clustering algorithm for arbitrary shaped datasets Autor 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 Autor 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 Autor 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 Autor 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

“… Compared to de-novo (unsupervised) clustering, we demonstrate using multiple benchmarks that supervised clustering, which uses reference transcriptomes as a guide, is robust to batch effects and data quality artifacts…”
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SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks Autor Li, Xiang, Wu, Yao, Ester, Martin, Kao, Ben, Wang, Xin, Zheng, Yudian

“… We put forward the SCHAIN algorithm to solve the clustering problem, and two highly efficient variants, SCHAIN-PI and SCHAIN-IRAM, which employ the power…”
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Fuzzy-Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data Autor Maji, Pradipta

“… In this regard, a new clustering algorithm, termed as fuzzy-rough supervised attribute clustering (FRSAC…”
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A new semi-supervised clustering algorithm for probability density functions and applications Autor 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…”
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Active Semi-Supervised Clustering Algorithm for Multi-Density Datasets Autor Atwa, Walid, Almazroi, Abdulwahab Ali, Aldhahr, Eman A., Janbi, Nourah Fahad

“… This research proposes an active semi-supervised density-based clustering algorithm, termed "ASS-DBSCAN," designed specifically for clustering multi-density data…”
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Semi-Supervised Clustering Algorithms Through Active Constraints Autor Almazroi, Abdulwahab Ali, Atwa, Walid

“…) clustering algorithm with prior information to improve semi-supervised clustering performance…”
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Semi-supervised clustering algorithm for community structure detection in complex networks Autor Ma, Xiaoke, Gao, Lin, Yong, Xuerong, Fu, Lidong

“…) and the maximum optimization of modularity density. Based on this equivalence, we develop a new algorithm, named the so-called SNMF-SS, by combining SNMF and a semi-supervised clustering approach…”
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LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes Autor Liu, Qiaoming, Liang, Yingjian, Wang, Dong, Li, Jie

“… We present a linear fast semi-supervised clustering (LFSC) algorithm that utilizes reference samples generated from bulk RNA sequencing data to identify cell types from single-cell transcriptomes…”
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A Semi-Supervised Clustering Algorithm for Underground Disaster Monitoring and Early Warning Autor 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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Validating the Utility of Supervised Clustering Algorithm for Precise 11CDPA-713 PET Brain Image Quantification Autor 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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Semi-supervised fuzzy clustering algorithm based on prior membership degree matrix with expert preference Autor Xu, Shengbing, Hao, Zhifeng, Zhu, Yuanhao, Wang, Zhenyou, Xiao, Yunhao, Liu, Bo

“…Existing pre-processing methods for the prior membership degree matrix suffer from the following issues: (1) The labeling constraints for prior membership…”
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A deep support vector clustering algorithm for unsupervised and semi‐supervised learning Autor Zhang, Zhen, Chen, Shuyan, Liu, Xin

“…As a widely carried out task in data‐driven applications, clustering relies on good data representation…”
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Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios Autor Xu, Jie, Ren, Yazhou, Wang, Xiaolong, Feng, Lei, Zhang, Zheng, Niu, Gang, Zhu, Xiaofeng

“…Multi-view clustering (MVC) aims at exploring category structures among multi-view data in self-supervised manners…”
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