When I separated two linked rings with spectral clustering, k-means failed with an ARI of 0.08

Two rings linked like a chain. If a human looks at this 3D data, they will answer "two rings" in 0.1 seconds. So, can a clustering algorithm figure that out?The tricky part about this data is that the ...
MarkTechPost

Datalab Introduces OmniExtractBench to Fix Bias and Opacity in Extraction Benchmarks

Datalab's OmniExtractBench tests extraction on 620 documents from 4 vendor benchmarks with 1 deterministic scorer explaining every value.
blog.csdn

DBSCAN聚类算法详解：从密度聚类原理到Python实现与调参实战

本内容遵循CC 4.0 BY-SA版权协议 简介：机器学习中的DBSCAN算法PPT课件，面向需要掌握基于密度聚类方法的数据分析与算法应用学习者。课件系统讲解DBSCAN的核心概念（核心点、边界点、噪声点 ...
CNBC

Australia targets algorithmic social feeds as it looks to hit Big Tech harder

Australia plans to force social media firms to enforce an "opt-out" feature for algorithm-based feeds. The proposed legislation will let users over the age of16 choose to see content only from people ...
nytimes.com

Australian Social Media Users Could Get Power to Switch Off Algorithms

Technology companies have been “running real-time, unregulated product testing on Australians” for too long, communications minister says. By Laura Chung Reporting from Sydney, Australia The ...
The Conversation

Proposed laws would let you opt out of social media algorithms. An expert explains

Social media users could switch off recommender algorithms in their social media feeds, under new draft laws the Australian government plans to unveil this week. The proposed digital duty of care ...
Frontiers

Design of a vehicle navigation system integrating CART decision tree and DBSCAN algorithm

This paper integrates a CART decision tree with DBSCAN clustering within an edge-cloud architecture. CART classifies roads using 28-dimensional sensor features via Gini gain optimization and ...
blog.csdn

DBSCAN 数据聚类：原理、参数与 Python 实战

本文深入探讨了 DBSCAN聚类算法 如何突破KMeans的局限，自动发现 数据 中的隐藏群组而无需预设簇数量。 通过 Python 的sklearn 实战 演示，展示了 DBSCAN 在处理不规则形状 聚类 和噪声 数据 方面的优势，特别适合地理空间分析等复杂场景。
Phys.org

Teenagers understand social media algorithms but want more control, study finds

Teenagers want a greater voice in the design and governance of platforms such as TikTok, Instagram and YouTube, according to new research led by University College Dublin. Rather than passive victims ...