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Clusterization of White Blood Cells on the Modified UPGMC Method. / Орехов, Андрей Владимирович; Шишкин, Виктор Иванович; Людкевич, Николай Сергеевич.

International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes. Springer Nature, 2022. стр. 559–566.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Орехов, АВ, Шишкин, ВИ & Людкевич, НС 2022, Clusterization of White Blood Cells on the Modified UPGMC Method. в International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes. Springer Nature, стр. 559–566, Stability and Control Processes, Saint Petersburg, Российская Федерация, 5/10/20. https://doi.org/10.1007/978-3-030-87966-2_62

APA

Орехов, А. В., Шишкин, В. И., & Людкевич, Н. С. (2022). Clusterization of White Blood Cells on the Modified UPGMC Method. в International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes (стр. 559–566). Springer Nature. https://doi.org/10.1007/978-3-030-87966-2_62

Vancouver

Орехов АВ, Шишкин ВИ, Людкевич НС. Clusterization of White Blood Cells on the Modified UPGMC Method. в International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes. Springer Nature. 2022. стр. 559–566 https://doi.org/10.1007/978-3-030-87966-2_62

Author

Орехов, Андрей Владимирович ; Шишкин, Виктор Иванович ; Людкевич, Николай Сергеевич. / Clusterization of White Blood Cells on the Modified UPGMC Method. International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes. Springer Nature, 2022. стр. 559–566

BibTeX

@inproceedings{95c4d0189f2049b688c2b0886b574ed5,
title = "Clusterization of White Blood Cells on the Modified UPGMC Method",
abstract = "Modern methods of flow cytometry make it possible to characterize cell populations with unprecedented detail, but the traditional analysis of data using the “manual gating” method under these conditions is ineffective and unreliable. A large number of research papers have been published in recent years that describe specialized clustering algorithms for detecting and determining populations of white blood cells. However, problems related to the presence of noise and different data density remain relevant. The internal problem of cluster analysis associated with determining the preferred number of clusters, and the moment the process itself stops remains unresolved. It is proposed to use the modified UPGMC (Unweighted Pair Group Method with Centroid average) with the Markov moment of stopping the clustering process from eliminating noise and overcoming problems associated with different data density.",
author = "Орехов, {Андрей Владимирович} and Шишкин, {Виктор Иванович} and Людкевич, {Николай Сергеевич}",
year = "2022",
doi = "10.1007/978-3-030-87966-2_62",
language = "English",
pages = "559–566",
booktitle = "International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes",
publisher = "Springer Nature",
address = "Germany",
note = "Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov : Dedicated to the Memory of Professor Vladimir Zubov, SCP2020 ; Conference date: 05-10-2020 Through 09-10-2020",
url = "http://www.apmath.spbu.ru/scp2020/, http://www.apmath.spbu.ru/scp2020/ru/main/, http://www.apmath.spbu.ru/scp2020/eng/program/#schedule, https://link.springer.com/conference/scp",

}

RIS

TY - GEN

T1 - Clusterization of White Blood Cells on the Modified UPGMC Method

AU - Орехов, Андрей Владимирович

AU - Шишкин, Виктор Иванович

AU - Людкевич, Николай Сергеевич

N1 - Conference code: 4

PY - 2022

Y1 - 2022

N2 - Modern methods of flow cytometry make it possible to characterize cell populations with unprecedented detail, but the traditional analysis of data using the “manual gating” method under these conditions is ineffective and unreliable. A large number of research papers have been published in recent years that describe specialized clustering algorithms for detecting and determining populations of white blood cells. However, problems related to the presence of noise and different data density remain relevant. The internal problem of cluster analysis associated with determining the preferred number of clusters, and the moment the process itself stops remains unresolved. It is proposed to use the modified UPGMC (Unweighted Pair Group Method with Centroid average) with the Markov moment of stopping the clustering process from eliminating noise and overcoming problems associated with different data density.

AB - Modern methods of flow cytometry make it possible to characterize cell populations with unprecedented detail, but the traditional analysis of data using the “manual gating” method under these conditions is ineffective and unreliable. A large number of research papers have been published in recent years that describe specialized clustering algorithms for detecting and determining populations of white blood cells. However, problems related to the presence of noise and different data density remain relevant. The internal problem of cluster analysis associated with determining the preferred number of clusters, and the moment the process itself stops remains unresolved. It is proposed to use the modified UPGMC (Unweighted Pair Group Method with Centroid average) with the Markov moment of stopping the clustering process from eliminating noise and overcoming problems associated with different data density.

UR - https://www.mendeley.com/catalogue/2370b98b-f03c-3d0e-ba07-2c4df246899e/

U2 - 10.1007/978-3-030-87966-2_62

DO - 10.1007/978-3-030-87966-2_62

M3 - Conference contribution

SP - 559

EP - 566

BT - International Conference Dedicated to the Memory of Professor Vladimir Zubov SCP 2020: Stability and Control Processes

PB - Springer Nature

T2 - Stability and Control Processes: International Conference Dedicated to the Memory of Professor Vladimir Zubov

Y2 - 5 October 2020 through 9 October 2020

ER -

ID: 95448416