def main(): # 1 champs_df = pd.read_pickle('champ_df.pd') print(champs_df) champ_pca_array = run_PCA(champs_df, 2) # 5 elice_utils.plot_champions(champs_df, champ_pca_array) print(get_closest_champions(champs_df, champ_pca_array, "Ashe", 10))
def main(): champs_df = pd.read_pickle('champ_df.pd') champ_pca_array = run_PCA(champs_df, 2) print(elice_utils.plot_champions(champs_df, champ_pca_array)) print(get_closest_champions(champs_df, champ_pca_array, "Ashe", 10))
def main(): champs_df = pd.read_pickle('champ_df.pd') champ_pca_array = run_PCA(champs_df, 2) champ_classes = run_kmeans(champ_pca_array, 5, [0, 30, 60, 90, 120]) print(elice_utils.plot_champions(champs_df, champ_pca_array, champ_classes)) print(get_champs_by_cluster(champs_df, champ_classes, 3))
def main(): champs_df = pd.read_pickle('champ_df.pd') # 1 champ_pca_array = run_PCA(champs_df, 2) champ_classes = run_kmeans(champ_pca_array, 4 , [0, 40,80, 120]) # 4 print(elice_utils.plot_champions(champs_df, champ_pca_array, champ_classes)) # 5 print(get_champs_by_cluster(champs_df, champ_classes, 3))