Sine Landmark Reduction: A Linear-Time Alternative to t-SNE for Browser-Based Data Visualization
By
romanfll
A five-star bake. Worth schmearing, sharing, saving.
Summary
The article introduces Sine Landmark Reduction (SLR), a deterministic, linear-time alternative to t-SNE for dimensionality reduction specifically designed for web browser visualization. SLR bypasses the heavy optimization loops of traditional methods by using trilateration against a fixed topological skeleton, enabling fast data visualization without requiring GPU backends or causing long wait times for users. The method is fast enough to power Thingbook's DriftMind stack and addresses the compromise between moving data visualization from Python notebooks to web browsers.
Key quotes
· 4 pulledMoving data visualisation from a Python notebook to a web browser usually demands a painful compromise: you either pay for a heavy GPU backend or you force the user to wait while JavaScript struggles through iterative algorithms.
SLR is a deterministic, linear-time alternative to t-SNE designed specifically for the browser.
It bypasses the heavy optimisation loops of traditional methods by using trilateration against a fixed topological skeleton.
The result? A method fast enough to power Thingbook's DriftMind stack, capable of...
You might also wanna read
DeepSeek-V4: Hybrid Sparse-Attention Architecture Enables Efficient Million-Token Context Inference
DeepSeek-V4 introduces a hybrid sparse-attention architecture combined with on-policy distillation across domain specialists, enabling 1M-to
artgor.medium.com·6h ago
Rotary GPU: Enabling Large Mixture-of-Experts Models on Consumer Laptop GPUs with Limited Memory
This paper presents Rotary GPU, an exploratory approach to running large Mixture-of-Experts (MoE) language models on consumer-grade hardware
arxiv.org·1d ago
LinkedIn cuts GPU training hours by 65% with Generative Recommender system optimizations
LinkedIn has developed a Generative Recommender (GR) system that models user activity as token sequences, offering richer long-context perso
startuphub.ai·3d ago
Rank-Aware Decomposition Technique Reduces Computation in Recommender Systems by 87.5%
This paper presents a rank-aware decomposition technique for deep ranking models in industrial recommender systems. The key insight is that
arxiv.org·3d ago
Building a Life Expectancy Visualizer with GPT-4o in Minutes
The author reflects on their birthday and time passing, then describes building a life expectancy visualizer web tool using GPT-4o in under
jamiemaguire.net·4d ago
Hands-on evaluation of MiniMax M2.7 via API on ML and coding workflows
The author evaluates MiniMax M2.7 by using it through Claude Code on three real-world ML and coding workflows: scaffolding a Kaggle competit
andlukyane.com·11d ago