{"id":"W23725892","doi":"10.1007/978-3-642-37186-8_4","title":"Spectral Clustering: An Explorative Study of Proximity Measures","year":2013,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cluster analysis; Spectral clustering; Measure (data warehouse); Computer science; Euclidean distance; Similarity (geometry); Data mining; Similarity measure; Distance measures; Distance matrix; Usability; Boundary (topology); Artificial intelligence; Pattern recognition (psychology); Mathematics; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001101824,0.0002267074,0.0003141262,0.001001095,0.000361976,0.0005279608,0.004787133,0.00008243849,0.000007030543],"category_scores_gemma":[0.00005493222,0.0002180644,0.00002830586,0.0004916318,0.0006422452,0.01592251,0.00430326,0.0005007662,0.00003055518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588439,"about_ca_system_score_gemma":0.0002527716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006202106,"about_ca_topic_score_gemma":0.00006681795,"domain_scores_codex":[0.9977354,0.00008285829,0.0007410446,0.0003570226,0.0008202297,0.0002633983],"domain_scores_gemma":[0.9956167,0.0001584033,0.0003778958,0.002885641,0.0008219937,0.0001393968],"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":[0.000008721258,0.0002621576,0.00007494577,0.00005541147,0.00001859496,0.000001163792,0.03315069,0.005488986,0.00001835868,0.1782535,0.00004288588,0.7826246],"study_design_scores_gemma":[0.0004138305,0.0005840201,0.00130601,0.0001151333,0.000003265407,0.00001447144,0.0003712774,0.9847178,0.00002749124,0.00833835,0.003784319,0.0003240002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001199008,0.00010402,0.9442823,0.0002478556,0.0001805091,0.001326138,0.000007190816,0.0001089341,0.05254404],"genre_scores_gemma":[0.4363323,0.001076857,0.561143,0.0001665597,0.0000520777,0.0001803994,0.00002708958,0.00002198845,0.0009997815],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9792289,"threshold_uncertainty_score":0.9978413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191461492858851,"score_gpt":0.3554448074291799,"score_spread":0.2362986581432948,"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."}}