Meta FAIR releases e-means, claiming 10x fewer epochs than k-means
The captured page is only a cookie notice, so datasets, code, and benchmark numbers are not available.
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13 stories, newest first · one card per story
Stories tagged #clustering
Paper introduces e-means, a faster mini-batch k-means variant
Authors report 10-45x GPU speedups and a no-sweep rule for decay rate and batch size.
Adaptive clustering breaks TraintoDefend defense in model extraction
SimBreak raises signature recovery from 0% to 100% in protected networks.
Survey Organizes Malware Clustering Techniques
Survey organizes prior malware clustering research into seven categories and highlights AI-driven methods for large-scale reproducible analysis.
GuardRAG filters poisoned document clusters after RAG retrieval
The training-free method clusters expanded retrieval results and prunes suspicious groups before they reach the model.
Cisco Expressway CVE-2026-76466 can run remote commands as root
Clustered Expressway X15.5.3 and earlier are affected; X15.5.20 is the first fix, with no workaround.
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Paper proposes one-shot federated density peak clustering with a shuffler
Clients send only selected density peaks through a shuffler, and the method beat recent one-shot baselines on benchmarks.
HDC-FL clusters classifier heads for personalized federated learning
On 11 CIFAR setups with ResNet-18 and MobileNetV2, it leads worst-client and bottom-20% accuracy without averaging heads.
MQTT flow-tool choice changes clustering across public datasets
More than 380,000 flows from four datasets were built with Zeek-flowmeter, Argus, and NTLFlowLyzer, and no tool won every test.
DeepTopoClustering: Unsupervised Derivation of Surface Process Taxonomy from 4D Point Clouds for Topographic Monitoring
DeepTopoClustering derives an unsupervised taxonomy of surface processes from 4D laser-scanning point clouds.
Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs
Round-Trip KNN Clustering finds multiscale clusters on directed neighbour graphs without a preset count.
Automatic depth-based local center clustering via $β$-integrated local depth and adaptive grouping
A new unsupervised clustering method, A-DLCC, estimates cluster count automatically without numerical parameter tuning.
COBRA: A Content-Agnostic Framework for Zero-Day Detection of Suspicious Domains
COBRA clusters newly registered domain names to flag suspicious domains at registration time, finding 47K domains with 98.5% precision before threat intel does.