Suchergebnisse - Batch clustering algorithm

Key grids based batch-incremental CLIQUE clustering algorithm considering cluster structure changes von Ma, Fumin, Wang, Cheng, Huang, Jian, Zhong, Qiuping, Zhang, Tengfei

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RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data von 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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A clustering-based analysis method for simulating seismic damage of buildings in large cities von Chen, Xianan, Zhang, Lingxin, Lin, Xuchuan, Skalomenos, Konstantinos A., Chen, Zifeng

“… Earthquakes are major threats to cities. Refined simulations of urban earthquake damage are significant for disaster prevention planning, including …”
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Application of OPTICS and Offline Batch Processing in Trajectory Clustering von GUO Yu, CHEN Jinyong, ZHANG Xinyu, LI Liang, SUN Weiwei

“… Trajectory clustering is an important step in spatio-temporal trajectory processing.Common trajectory clustering algorithms,such as TRACLUS algorithm,usually …”
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Pengelompokan Data Pendistribusian Listrik Menggunakan Algoritma Mini Batch K-Means Clustering: Grouping Electricity Distribution Data Using The Mini Batch K-Means Clustering Algorithm von Mulyadi, Syahrul, Insani, Fitri, Agustian, Surya, Afriyanti, Liza

“… dalam mengelompokkan data untuk mengidentifikasi pola-pola yang signifikan. Penelitian ini bertujuan mengimplementasikan algoritma mini batch k-means untuk mengelompokkan distribusi listrik di setiap wilayah …”
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Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis von Li, Xiangjie, Wang, Kui, Lyu, Yafei, Pan, Huize, Zhang, Jingxiao, Stambolian, Dwight, Susztak, Katalin, Reilly, Muredach P., Hu, Gang, Li, Mingyao

“… Single-cell RNA sequencing (scRNA-seq) can characterize cell types and states through unsupervised clustering, but the ever increasing number of cells and batch effect impose computational challenges …”
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Batch clustering algorithm for big data sets von Alguliyev, Rasim, Aliguliyev, Ramiz, Bagirov, Adil, Karimov, Rafael

“… One of the ways to find these similarities is data clustering. Currently, there exist several data clustering algorithms which differ by their application area and efficiency …”
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Optimization Algorithms for Scalable Stream Batch Clustering with k Estimation von Cândido, Paulo Gustavo Lopes, Silva, Jonathan Andrade, Faria, Elaine Ribeiro, Naldi, Murilo Coelho

“… The data stream clustering algorithms face issues such as the rapidly increasing volume of the data, the variety of the number of clusters, and their shapes …”
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A multi-objective evolutionary algorithm based on adaptive clustering for energy-aware batch scheduling problem von Qian, Si-yuan, Jia, Zhao-hong, Li, Kai

“… Due to NP-hardness of the studied problem, a multi-objective evolutionary algorithm based on adaptive clustering is proposed, where an improved adaptive clustering method is incorporated to mine …”
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Customer Segmentation using Mini Batch K-Means Clustering Algorithm von Sudarsanam, P., Yadav, C Siva Balaji, Reddy, P.Venkateswarlu, Navatha, B., Sathish, S., Ganesh, D.

“… Today, especially in this era of data, everything is becoming more mechanized. Data is the new electricity of the globe. This knowledge may help a lot of …”
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Research on Mini-Batch Affinity Propagation Clustering Algorithm von Xu, Ziqi, Lu, Yahui, Jiang, Yu

“… those in other groups. Affinity propagation (AP) is a clustering algorithm which finds the exemplars (representative points …”
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A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN von Ganapathy, Sannasi, Thoidingjam, Vikrant, Sen, Amrit

“… Prediction of the tumor is a large topic with various algorithms and techniques being used such as imaging methods, machine learning and deep learning models …”
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Parallel batch k-means for Big data clustering von Alguliyev, Rasim M., Aliguliyev, Ramiz M., Sukhostat, Lyudmila V.

“… •This paper proposes a new parallel batch clustering algorithm based on k-means.•The algorithm increases the clustering speed …”
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Firefly Algorithm with Mini Batch K-Means Entropy Measure for Clustering Heterogeneous Categorical Timber Data von Mahfuz, Nurshazwani Muhamad, Yusoff, Marina, Nordin, Muhammad Shaiful, Ahmad, Zakiah

“… This paper emphasizes using the firefly algorithm to reduce the distance gap between features and improve clustering performance …”
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A comparison of small-batch clustering and charge-comparison methods for n/γ discrimination using a liquid scintillation detector von Wang, Feipeng, Yang, Minghan, Wang, Jianye, Shen, Shuifa, Hong, Bing

“… In this study, a novel neutron and γ-ray (n/γ) discrimination method based on a small-batch clustering algorithm has been developed to improve the discrimination performance of an EJ-301 liquid scintillator detector …”
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Insight into the influence of various cultivation regions on the identification of metabolites from Capsella bursa-pastoris via a clustering algorithm von Lee, In Young, Lee, Doo-Hee, Lee, Min Ju, Park, Ju Hong, Joo, Nami

“… The samples were classified via six clustering techniques (K-means, agglomerative clustering, spectral clustering, Birch, mini-batch K-means, and bisecting K-means …”
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Detection of homogeneous production batches of semiconductor devices by greedy heuristic clustering algorithms with special distance metrics von Shkaberina, G Sh, Rozhnov, I P, Popov, V P, Kazakovtsev, L A, Lapunova, E V

“… Authors present a comparative efficiency analysis of application of k-means and k-medoids clustering models for solving the problem of grouping of semiconductor devices into homogeneous production …”
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An Operation Mode Optimization Method for Tobacco Loosening and Conditioning Process Based on Batch Clustering and KNN Algorithm von Yang, Wang, Xiaofang, Chen, Xiangyu, Peng, Yalin, Wang, Weichao, Yue, Wei, Zhang

“… An optimization method of operation mode based on batch clustering and KNN algorithm is proposed in this paper …”
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Transition-based Soft Phase Partition Algorithm of Multiphase Batch Processes Based on K-means Optimal Clustering von Shao, Mengya, Lyu, Feng, Sun, Hao, Du, Wenxia, Guo, Zhenxing

“… In the multi-period batch process, there are many time periods, and the fuzzy transition areas corresponding to the process characteristics of adjacent areas from one period to another cannot be strictly divided …”
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Comparison of K-Means, Affinity Clustering, and Mini Batch K-Means Algorithms for Market Segmentation Analysis von Purba, Andrew Castello, Handhayani, Teny

“… strategies.This study compares three clustering methods, namely K-Means Clustering, Affinity Propagation Clustering, and Mini Batch K-Means, in the context of market segmentation analysis …”
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