[R-sig-genetics] Online Course: Clustering High-Dimensional Data with ChatGPT

[mzyphur m@iii@g oii i@st@ts@org]

Hi everyone

Instats is excited to offer a one-day seminar, Clustering High-Dimensional Data with ChatGPT <https://instats.org/seminar/clustering-high-dimensional-data-with-ch>, on March 28 with Professor Nikolay Oskolkov from Lund University. In the era of big data, effectively analyzing high-dimensional datasets is critical. In this workshop, you'll learn to harness both classic and advanced clustering techniques using R and Python—with ChatGPT serving as your AI assistant to help write code, interpret results, and streamline your workflow. Dr. Oskolkov, an expert in bioinformatics, statistics, and machine learning, will guide you through methods to tackle the curse of dimensionality, apply dimensionality reduction (PCA, t-SNE, UMAP), and implement a range of clustering algorithms from basic (K-means, GMM, hierarchical) to advanced graph-based techniques (SNN, (H)DBSCAN, Louvain, Leiden). Designed for PhD students, academics, and professional researchers, this hands-on session will equip you with the skills to extract meaningful insights from complex, multi-dimensional data.

Sign up today <https://instats.org/seminar/clustering-high-dimensional-data-with-ch> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit!


Best wishes

Michael Zyphur
Director
Institute for Statistical and Data Science
instats.org <http://instats.org>

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