AZoNano

Machine Learning Reveals Hidden Nanophotonic Resonances In Silicon-Gold Nanopillars

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
Frontiers

Unveiling urethral cellular heterogeneity in menopause through single-nucleus RNA sequencing

Estrogen homeostasis is crucial for the structure and function of the urethra, and estrogen deprivation resulting from menopause, ovariectomy, or ovarian dysfunction may lead to various urethral ...
IEEE

A Curvature-Based Adaptive UMAP for Manifold Learning in Clustering and Classification

Abstract: The Uniform Manifold Approximation and Projection (UMAP) algorithm is a powerful tool for dimensionality reduction, renowned for its ability to preserve both local and global data structures ...
Nature

Comparison of manifold learning algorithms for identifying geochemical anomalies associated with copper mineralization

The Baiyin district, situated within the northern Qilian orogenic belt, hosts the largest concentration of copper mineral resources in Gansu Province, Northwestern China. Geochemical anomaly patterns ...
IEEE

Exploration of the UMAP Algorithm for Assessment of Similarity between Synthetic and Real-world Image Datasets

With the growing reliance on deep learning (DL) models for tasks in computer vision, high-quality training data is essential for the development of accurate models. However, generating large, labeled ...
Scientific Research Publishing

Allaoui, M., Kherfi, M.L. and Cheriet, A. (2020) Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study. In: Lecture ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
GitHub

[BUG] UMAP fails when the KNN graph has no non-zero neighbors due to duplicates in the input

We need to fix this, because this is a common case that users will experience often in our UMAP and we shouldn't fail here. Granted, we've rearranged some of the math in the smoothing function to make ...
LinkedIn

What is UMAP Algorithm? How It Works and When to Use It

It's important to understand and work with complex data in data science and machine learning. UMAP algorithm, which stands for Uniform Manifold Approximation and Projection, is a smart method that ...
blockchain

Enhanced UMAP Performance on GPUs with RAPIDS cuML

RAPIDS cuML introduces a faster, scalable UMAP implementation using GPU acceleration, addressing challenges in large dataset processing with new algorithms for improved performance. The latest ...
Frontiers

Pathological cell assembly dynamics in a striatal MSN network model

Under normal conditions the principal cells of the striatum, medium spiny neurons (MSNs), show structured cell assembly activity patterns which alternate sequentially over exceedingly long timescales ...
The New York Times

Algorithms Are Making Kids Desperately Unhappy

Mr. Murphy is the junior senator from Connecticut. See more of our coverage in your search results.Encuentra más de nuestra cobertura en los resultados de búsqueda. Add The New York Times on ...
chromatographyonline

Ink Source Prediction and Assessment Made Possible by Mass Spectrometry

Scientists have developed a new method for predicting and assessing the source of black inks using direct analysis in real-time mass spectrometry. By applying dimensionality reduction techniques and ...