Cell Group Recognition Method Based on Adaptive Mutation PSO-SVM

Cell Group Recognition Method Based on Adaptive Mutation PSO-SVM

The increased volume and complexity of flow cytometry (FCM) data resulting from the increased throughput greatly boosts the demand for reliable statistical methods for the analysis of multidimensional data. The Support Vector Machines (SVM) model can be used for classification recognition. However,...

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Bibliographic Details
Main Authors: Yue Wang, Xiaochen Meng, Lianqing Zhu
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Cells
Subjects:
biomedicine
flow cytometry
fluorescent reagent
cell clustering
supervised clustering
adaptive mutation PSO-SVM
Online Access:http://www.mdpi.com/2073-4409/7/9/135

Internet

http://www.mdpi.com/2073-4409/7/9/135

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