AIMC Topic: Multidimensional Scaling Analysis

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Using Support Vector Machines for Facet Partitioning in Multidimensional Scaling.

Multivariate behavioral research Feb 8, 2022
In this article we focus on interpreting multidimensional scaling (MDS) configurations using facet theory. The facet theory approach is attempting to partition a representational space, facet by facet, into regions with certain simplifying constraint...
Support Vector Machine Multidimensional Scaling Analysis
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Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2021
Clustering tumor metastasis samples from gene expression data at the whole genome level remains an arduous challenge, in particular, when the number of experimental samples is small and the number of genes is huge. We focus on the prediction of the e...
Humans Female Breast Neoplasms Transcriptome Computational Biology Cluster Analysis Unsupervised Machine Learning Epithelial-Mesenchymal Transition Neoplasm Metastasis Multidimensional Scaling Analysis
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Supervised Multidimensional Scaling and its Application in MRI-Based Individual Age Predictions.

Neuroinformatics Apr 1, 2021
It has been a popular trend to decode individuals' demographic and cognitive variables based on MRI. Features extracted from MRI data are usually of high dimensionality, and dimensionality reduction (DR) is an effective way to deal with these high-di...
Humans Algorithms Forecasting Brain Magnetic Resonance Imaging Supervised Machine Learning Multidimensional Scaling Analysis
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