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Clustering in High-dimensional Data Spaces
2002By high-dimensional we mean dimensionality of the same order as the number of objects or observations to cluster, and the latter in the range of thousands upwards. Bellman’s “curse of dimensionality” applies to many widely-used data analysis methods in high-dimensional spaces. One way to address this problem is by array permuting methods, involving row/
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Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
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Clustering High-Dimensional Data
This seminar on 'Clustering High-Dimensional Data,' led by Nikolay Oskolkov from Molecular Biosciences at Lund University, provides comprehensive training in clustering techniques using R and Python. Participants will learn to manage high-dimensional datasets, apply various clustering algorithms, and evaluate their performance to enhance their researchopenaire +1 more source
Overview and comparative study of dimensionality reduction techniques for high dimensional data
Information Fusion, 2020Shaeela Ayesha +2 more
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Vapour-phase deposition of two-dimensional layered chalcogenides
Nature Reviews Materials, 2023Jiangtao Wang, Peng Wu, Jing Kong
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