{"id":"W2287897145","doi":"10.1007/978-3-642-23878-9_50","title":"From Alternative Clustering to Robust Clustering and Its Application to Gene Expression Data","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Correctness; Single-linkage clustering; Cluster (spacecraft); CURE data clustering algorithm; Determining the number of clusters in a data set; Clustering high-dimensional data; Correlation clustering; Homogeneity (statistics); Fuzzy clustering; Homogeneous; Centroid; Algorithm; Artificial intelligence; Machine learning; Mathematics","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":[0.004142817,0.001134051,0.001814387,0.003151256,0.0008310125,0.002129243,0.003363207,0.002053141,0.002967733],"category_scores_gemma":[0.0146147,0.001181766,0.002691116,0.005728649,0.001824979,0.002461147,0.00356727,0.002999515,0.001782922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008463463,"about_ca_system_score_gemma":0.0009976166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003209083,"about_ca_topic_score_gemma":0.003522422,"domain_scores_codex":[0.9965175,0.001237238,0.0002379989,0.0006591391,0.001235221,0.0001129625],"domain_scores_gemma":[0.9936156,0.003692548,0.0002492804,0.001269931,0.001059886,0.00011271],"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":[0.0002473134,0.00008516898,0.0009331988,0.0006985745,0.0003595089,0.0002338078,0.0004606673,0.1144711,0.01398286,0.09039476,0.01294685,0.7651863],"study_design_scores_gemma":[0.00002016097,0.00006421922,0.0009700199,0.00004803399,0.00007196342,0.0003357447,0.00007507781,0.7809338,0.004517526,0.200916,0.01196399,0.00008348635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00165443,0.0007505182,0.9963863,0.0001614119,0.00007706828,0.00002016628,0.00006987657,0.0004726805,0.0004075742],"genre_scores_gemma":[0.03340529,0.00125664,0.9617097,0.0001618803,0.0002236809,0.000142482,0.0004937099,0.0006083424,0.001998414],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004142817,"threshold_uncertainty_score":0.02190959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04470727906496069,"score_gpt":0.2811377993605606,"score_spread":0.2364305202955999,"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."}}