Demeaning dataīut not standardizing is equivalent to computing principal componentsįrom the covariance matrix of data. demean is ignored if standardize is True. demean bool, optionalįlag indicating whether to demean data before computing principalĬomponents. Using standardizedĭata is equivalent to computing principal components from theĬorrelation matrix of data. standardize bool, optionalįlag indicating to use standardized data with mean 0 and unit Smaller of the number of rows or columns in data. Variables in columns, observations in rows. Principal Component Analysis Parameters : ¶ data array_like PCA ( data, ncomp = None, standardize = True, demean = True, normalize = True, gls = False, weights = None, method = 'svd', missing = None, tol = 5e-08, max_iter = 1000, tol_em = 5e-08, max_em_iter = 100, svd_full_matrices = False ) ¶
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |