data_normalize
PURPOSE 
output = data_normalize(X, params)
SYNOPSIS 
function output = data_normalize(p1, params, idxs_fea)
DESCRIPTION 
CROSS-REFERENCE INFORMATION 
This function calls:
- v_x2ind function indexes = v_x2ind(v, x)
This function is called by:
- ask_pca X =
- cca function [A, B] = cca(X, Y, P)
- data_cca CCA according to Hastie, The elements of Statistical Learning, 2001, Algorithm 3.2, p.68
- data_transform_lda function d2 = data_transform_lda(data, flag_sphere, flag_modified_s_b, P)
- data_transform_pca d2 = data_transform_pca(data, no_factors = 0, flag_rotate_factors = 1)
- data_transform_pls function d2 = data_transform_pls(data, no_factors)
- lin_estimate function [model, est] = lin_estimate(model, data)
- lin_train function model = lin_train(model, data)
- modelset_prepare_data function data = modelset_prepare_data(o, data)
- pls [scores] = pls(X, Y, no_factors)
- princomp2 Principal Component Analysis (PCA)
- x_despike1 load_mat_file('../mat/imran_pec29_oneclassonly.mat', [2100 200]);
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