别再滥用 ClickHouse 了！单机每秒狂刷 1800 万条数据，拆解 Go+DuckDB 的“微型数仓”降维打击 本文永久链接 – https://tonybai.com/2026/03/13/go-duckdb-micro-data-wa

#技术志 #AppenderAPI #ArchitectureRefactoring #BusinessReporting #ClickHouse #ColumnOriented #DataAnalytics #Database #DataStorage […]

[Original post on tonybai.com]

Topological Autoencoders++ Improves Cycle‑Aware Dimensionality Reduction

TopoAE++ adds cascade distortion loss to preserve cyclic structures and offers a fast planar persistent homology algorithm; the C++ code is on GitHub (Oct 3 2025). Read more: getnews.me/topological-autoencoders... #topology #dimensionalityreduction

Multi-Scale Geometric Autoencoder Improves Latent Space Structure

Researchers presented a Multi‑Scale Geometric Autoencoder that preserves global and local geometry, delivering better reconstruction and clearer clusters on Swiss‑roll and S‑curve data. getnews.me/multi-scale-geometric-au... #ml #dimensionalityreduction

Tensor Trace Ratio Method Boosts Multidimensional Reduction

A tensor‑based Trace Ratio framework extends LDA to higher‑order data, enabling dimensionality reduction without flattening. Submitted 18 September 2025. Read more: getnews.me/tensor-trace-ratio-metho... #tensor #dimensionalityreduction

Dimensionality Reduction Improves Word Embeddings for Tabular Classification

PCA and shrinkage‑enhanced LDA reduced the 300‑dimensional job embedding, improving top‑10 accuracy in the Engineers' Salary Prediction Challenge. getnews.me/dimensionality-reduction... #dimensionalityreduction #tabularml

Key feature is that we model the log-correlation matrix, for which block structures are preserved.

This leads to a natural linear factor model for dynamic correlations, where additional information from realized measures are easy to incorporate.

#FactorModels #DimensionalityReduction

Poster: A #DeepLearning Approach to #DimensionalityReduction of #SpectralIndices for Scalable #EarthSystem Analysis

16 talented participants explored exciting frontiers at the intersection of neuroscience and AI. This year’s focus: dimensionality reduction and understanding high-dimensional data through dynamical systems. #DimensionalityReduction #DataScience

Uniform manifold approximation and projection Nature Reviews Methods Primers - Uniform manifold approximation and projection is a dimensionality reduction technique used to visualize and understand high-dimensional data. In this Primer, Healy...

An excellent article on UMAP ! 🖼️ rdcu.be/d0YZT

Please keep in mind that, UMAP does not preserve global topology of the data. Thus, using UMAP embeddings as direct inputs for trajectory inference methods can lead to inaccurate results.

#scRNAseq #pseudotime #UMAP #DimensionalityReduction

Optimizing UI Element Order Doubles Performance of LM Agents in Virtual Environments Researchers found that ordering UI elements for LM agents is crucial, with dimensionality reduction improving task success rates by over 50% in pixel-only environments.

Optimizing UI Element Order Doubles Performance of LM Agents in Virtual Environments 🚀💻📊 www.azoai.com/news/2024092... #AI #LanguageModels #UIOptimization #VirtualEnvironments #AgentPerformance #PixelOnly #DimensionalityReduction #ObjectDetection #TechInnovation #OmniACT @arxiv-stat-ml.bsky.social