Index A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | V | Y A AgglomerativeBestMeasure (class in measurenary.agglomerative_best), [1] ample() (in module measurenary.similarity), [1] anderberg() (in module measurenary.similarity), [1] ARI() (in module measurenary.similarity), [1] austin_and_colwell() (in module measurenary.similarity), [1] B baroni_urbani_buser_1() (in module measurenary.similarity), [1] baroni_urbani_buser_2() (in module measurenary.similarity), [1] braun_banquet() (in module measurenary.similarity), [1] bray_curtis() (in module measurenary.distance), [1] C canberra() (in module measurenary.distance), [1] chord() (in module measurenary.distance), [1] cityblock() (in module measurenary.distance), [1] cohen() (in module measurenary.similarity), [1] cole() (in module measurenary.similarity), [1] consonni_and_todeschini_i() (in module measurenary.similarity), [1] consonni_and_todeschini_ii() (in module measurenary.similarity), [1] consonni_and_todeschini_iii() (in module measurenary.similarity), [1] consonni_and_todeschini_iv() (in module measurenary.similarity), [1] consonni_and_todeschini_v() (in module measurenary.similarity), [1] cosine() (in module measurenary.similarity), [1] D dennis() (in module measurenary.similarity), [1] derived_jaccard() (in module measurenary.similarity), [1] derived_rusell_rao() (in module measurenary.similarity), [1] dice_1() (in module measurenary.similarity), [1] dice_2() (in module measurenary.similarity), [1] disperson() (in module measurenary.similarity), [1] driver_kroeber() (in module measurenary.similarity), [1] E euclidean() (in module measurenary.distance), [1] eyraud() (in module measurenary.similarity), [1] F fager_mcgowan() (in module measurenary.similarity), [1] faith() (in module measurenary.similarity), [1] fit() (measurenary.agglomerative_best.AgglomerativeBestMeasure method), [1] (measurenary.pair_best.PairBestMeasure method), [1] forbes_1() (in module measurenary.similarity), [1] forbes_2() (in module measurenary.similarity), [1] fossum() (in module measurenary.similarity), [1] G get_all_functions_name() (in module measurenary.distance), [1] (in module measurenary.similarity), [1] get_function() (in module measurenary.distance), [1] (in module measurenary.similarity), [1] get_result() (measurenary.agglomerative_best.AgglomerativeBestMeasure method), [1] (measurenary.pair_best.PairBestMeasure method), [1] gilbert_wells() (in module measurenary.similarity), [1] gleason() (in module measurenary.similarity), [1] goodman_kruskal() (in module measurenary.similarity), [1] gower() (in module measurenary.similarity), [1] gower_legendre() (in module measurenary.similarity), [1] H hamann() (in module measurenary.similarity), [1] hamming() (in module measurenary.distance), [1] harris_and_lahey() (in module measurenary.similarity), [1] hawkins_and_dotson() (in module measurenary.similarity), [1] hellinger() (in module measurenary.distance), [1] I inner_product() (in module measurenary.similarity), [1] intersection() (in module measurenary.similarity), [1] J jaccard() (in module measurenary.similarity), [1] johnson() (in module measurenary.similarity), [1] K kulczynski_1() (in module measurenary.similarity), [1] kulczynski_2() (in module measurenary.similarity), [1] L lance_williams() (in module measurenary.distance), [1] loevingers_H() (in module measurenary.similarity), [1] M manhattan() (in module measurenary.distance), [1] maxwell_and_pilliner() (in module measurenary.similarity), [1] mc_connaughey() (in module measurenary.similarity), [1] mean_manhattan() (in module measurenary.distance), [1] measurenary.agglomerative_best module, [1] measurenary.distance module, [1] measurenary.pair_best module, [1] measurenary.similarity module, [1] michael() (in module measurenary.similarity), [1] minkowski() (in module measurenary.distance), [1] module measurenary.agglomerative_best, [1] measurenary.distance, [1] measurenary.pair_best, [1] measurenary.similarity, [1] mountford() (in module measurenary.similarity), [1] N neili() (in module measurenary.similarity), [1] O ochiai_1() (in module measurenary.similarity), [1] ochiai_2() (in module measurenary.similarity), [1] odds_ratio() (in module measurenary.similarity), [1] otsuka() (in module measurenary.similarity), [1] P PairBestMeasure (class in measurenary.pair_best), [1] pattern_difference() (in module measurenary.distance), [1] pearson_1() (in module measurenary.similarity), [1] pearson_2() (in module measurenary.similarity), [1] pearson_3() (in module measurenary.similarity), [1] pearson_heron_1() (in module measurenary.similarity), [1] pearson_heron_2() (in module measurenary.similarity), [1] peirce() (in module measurenary.similarity), [1] phi() (in module measurenary.similarity), [1] R rand() (in module measurenary.similarity), [1] rogers_tanimoto() (in module measurenary.similarity), [1] rogot_and_goldberg() (in module measurenary.similarity), [1] russell_rao() (in module measurenary.similarity), [1] S scott() (in module measurenary.similarity), [1] shape_difference() (in module measurenary.distance), [1] simpson() (in module measurenary.similarity), [1] size_difference() (in module measurenary.distance), [1] sokal_michener() (in module measurenary.similarity), [1] sokal_sneath_1() (in module measurenary.similarity), [1] sokal_sneath_2() (in module measurenary.similarity), [1] sokal_sneath_3() (in module measurenary.similarity), [1] sokal_sneath_4() (in module measurenary.similarity), [1] sokal_sneath_5() (in module measurenary.similarity), [1] sorgenfrei() (in module measurenary.similarity), [1] squared_euclidean() (in module measurenary.distance), [1] stiles() (in module measurenary.similarity), [1] T tanimoto() (in module measurenary.similarity), [1] tarantula() (in module measurenary.similarity), [1] tarwid() (in module measurenary.similarity), [1] tetrachoric() (in module measurenary.similarity), [1] three_way_jaccard() (in module measurenary.similarity), [1] V van_der_maarel() (in module measurenary.similarity), [1] var_of_correlation() (in module measurenary.similarity), [1] vari() (in module measurenary.distance), [1] Y yuleq() (in module measurenary.distance), [1] (in module measurenary.similarity), [1] yulew() (in module measurenary.similarity), [1]