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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Advanced Clustering Algorithms Research
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

421 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
421 works in the cohort · of 4,299,418page 1 of 9

Labels cover 0 of 421 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 421 of 421 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Density‐based clustering
Hans‐Peter Kriegel, Peer Kröger, Jörg Sander, Arthur Zimek
2011· article· en· Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery· Computer Science
machine prediction:candidate · noneconsensus · none
810
citations
affno abstractunlabeled
Collaborative fuzzy clustering
Witold Pedrycz
2002· article· en· Pattern Recognition Letters· Computer Science
machine prediction:candidate · noneconsensus · none
282
citations
afffundunlabeled
Density-Based Clustering Validation
Davoud Moulavi, Pablo Andretta Jaskowiak, Ricardo J. G. B. Campello, Arthur Zimek, Jörg Sander
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
262
citations
affno abstractunlabeled
LIMBO: Scalable Clustering of Categorical Data
Periklis Andritsos, Panayiotis Tsaparas, Renée J. Miller, Kenneth C. Sevcik
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
260
citations
affunlabeled
Hierarchical Clustering
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn, Claire Mathieu
2019· article· en· Journal of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
207
citations
affno abstractunlabeled
An objective approach to cluster validation
Mohamed Bouguessa, Shengrui Wang, Haojun Sun
2006· article· en· Pattern Recognition Letters· Computer Science
machine prediction:candidate · noneconsensus · none
122
citations
affunlabeled
Density‐based clustering
Ricardo J. G. B. Campello, Peer Kröger, Jörg Sander, Arthur Zimek
2019· article· en· Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery· Computer Science
machine prediction:candidate · noneconsensus · none
116
citations
affno abstractunlabeled
Relative entropy fuzzy c-means clustering
Marzieh Zarinbal, M.H. Fazel Zarandi, İ.B. Türkşen
2013· article· en· Information Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
113
citations
affno abstractunlabeled
Theoretical Analysis of the k-Means Algorithm – A Survey
Johannes Blömer, Christiane Lammersen, Melanie Schmidt, Christian Sohler
2016· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
91
citations
affunlabeled
Data bubbles
Markus Breunig, Hans‐Peter Kriegel, Peer Kröger, Jörg Sander
2001· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
79
citations
affno abstractunlabeled
Data Clustering with Partial Supervision
Abdelhamid Bouchachia, Witold Pedrycz
2006· article· en· Data Mining and Knowledge Discovery· Computer Science
machine prediction:candidate · noneconsensus · none
75
citations
affunlabeled
Knowledge-Induced Multiple Kernel Fuzzy Clustering
Yiming Tang, Zhifu Pan, Xianghui Hu, Witold Pedrycz, Renhao Chen
2023· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
59
citations
afffundunlabeled
Clustering probability distributions
Tai Vovan, T. Pham‐Gia
2010· article· en· Journal of Applied Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations

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