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bag-of-words representation for biomedical time series classificaiton

from bag-of-words representation for biomedical time series classificaiton by Jin
a simple yet effective bag-of-words representation for biomedical time series, such as EEG and ECG.

config_file_128_1000.m
%%%%% Configuration file for bag-of-words representation for biomedical time series%%%%%%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% DIRECTORIES - please change if copying the code to a new location
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% Directory holding all the experiment image frames
DATA_DIR = './data/original_data/';

%% Directory holding the codebook, i.e., the k-mean clusters
CODEBOOK_DIR = './data/codebook/';

%% Feature directory - holds all features
FEATURE_DIR = './data/feature/';


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% dataset parameters 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% number of classes 
num_class = 5;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% bag-of-words parameters 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% Transform
transform = 'wavelet';

%% length of subsequences
sub_length = 128;

%% over points between slideing window
inter_point = 4;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% codebook parameters 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% size of codebook
VQ.Codebook_Size = 1000;
%% Max number of k-means iterations
VQ.Max_Iterations = 20;
%% Verbsoity of Mark's code
VQ.Verbosity = 0;

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