{"id":"W4382461867","doi":"10.1609/aaai.v37i7.25963","title":"XClusters: Explainability-First Clustering","year":2023,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Cluster analysis; Correlation clustering; Computer science; Decision tree; CURE data clustering algorithm; Fuzzy clustering; Artificial intelligence; Tree (set theory); Data mining; Pattern recognition (psychology); Mathematics; Machine learning; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005270816,0.00182358,0.002182417,0.00378085,0.001897435,0.002861873,0.003890252,0.002836102,0.004328497],"category_scores_gemma":[0.0213545,0.0009794034,0.001922273,0.003193873,0.00195423,0.003615754,0.003104103,0.003337462,0.001283275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002052095,"about_ca_system_score_gemma":0.001940828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004942725,"about_ca_topic_score_gemma":0.006428812,"domain_scores_codex":[0.9967425,0.001180625,0.0001474799,0.0008820771,0.0007969799,0.0002503815],"domain_scores_gemma":[0.9877622,0.006694683,0.001295822,0.002294519,0.001561109,0.0003915894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006444488,0.0003808688,0.01064516,0.0005922983,0.0005975644,0.0004473783,0.001606892,0.4038914,0.005039058,0.09771905,0.02072392,0.457712],"study_design_scores_gemma":[0.00004362566,0.00006641913,0.0009092166,0.0000435793,0.00004381905,0.0001195334,0.0001265023,0.9236136,0.002128571,0.06963211,0.003242882,0.00003007331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02411021,0.0004259649,0.9709665,0.0006795651,0.00005726282,0.0001714757,0.0002949804,0.001717582,0.001576458],"genre_scores_gemma":[0.2725157,0.0003159584,0.7194965,0.0004838215,0.0001801403,0.0003474042,0.002230144,0.0009588007,0.00347155],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005270816,"threshold_uncertainty_score":0.02787501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09964842612454315,"score_gpt":0.2937425964074363,"score_spread":0.1940941702828932,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}