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Artifacts for "Purely Misleading: Examining Purity Evaluation for Online-Offline Stream Clustering [Experiment, Analysis, and Benchmark]" (Part 2)

Year: 2026

Type: preprint

Abstract: Artifacts for the ICDE'2027 submission "Purely Misleading: Examining Purity Evaluation for Online-Offline Stream Clustering [Experiment, Analysis, and Benchmark]" Contains further zip files of relevant reproducibility artifacts/intermediary results that could not be included in the main GitHub repository (found here: https://github.com/PhilJahn/OfflineStreamClustering)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22238049

Authors: Jahn, Philipp, Durani, Walid, Leiber, Collin, Seidl, Thomas

Institutions: Munich Center for Machine Learning, Ludwig-Maximilians-Universität München, Aalto University

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7204872610

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