{"id":"W2093312554","doi":"10.1007/s10100-012-0258-3","title":"Sequential clustering with radius and split criteria","year":2012,"lang":"en","type":"article","venue":"Central European Journal of Operations Research","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; Royal Military College of Canada; HEC Montréal","funders":"","keywords":"Cluster analysis; Homogeneity (statistics); RADIUS; Complete-linkage clustering; Cluster (spacecraft); k-medians clustering; Mathematics; Single-linkage clustering; Determining the number of clusters in a data set; Homogeneous; Set (abstract data type); Correlation clustering; Computer science; Algorithm; Combinatorics; Data mining; CURE data clustering algorithm; Statistics","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":[0.006877567,0.00161528,0.004099999,0.003954953,0.001950286,0.002094256,0.004006749,0.002317686,0.003819611],"category_scores_gemma":[0.02151891,0.001215277,0.002054399,0.003937352,0.00157425,0.00384565,0.003182019,0.001573667,0.001181865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889175,"about_ca_system_score_gemma":0.002780479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0052876,"about_ca_topic_score_gemma":0.005578828,"domain_scores_codex":[0.994594,0.002736982,0.0003522162,0.0009792399,0.001041863,0.0002956458],"domain_scores_gemma":[0.9859607,0.008627022,0.0007763975,0.001862023,0.002186297,0.0005874778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001383309,0.0003326343,0.002699058,0.0003947365,0.0003693792,0.0001339673,0.0003286639,0.7370731,0.004637566,0.06256887,0.005967627,0.1841111],"study_design_scores_gemma":[0.00003701494,0.0001208235,0.0003760378,0.00001173649,0.00003638239,0.00005023189,0.0000322021,0.9743801,0.0009536925,0.02315702,0.0008284133,0.00001633392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02153809,0.0003132743,0.9760758,0.0001551749,0.00004609239,0.0001994497,0.0001670815,0.0003490151,0.001155981],"genre_scores_gemma":[0.2957165,0.0003091135,0.6971713,0.0001145378,0.0001830003,0.0005150698,0.001107141,0.0002845795,0.004598755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006877567,"threshold_uncertainty_score":0.03637248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503335675284213,"score_gpt":0.3740511940266259,"score_spread":0.2990178372737838,"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."}}