Difference between revisions of "CSVfilesDescription"
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Revision as of 19:10, 24 November 2009
Home < CSVfilesDescriptionFor each cluster, the EM Clustering Module generates a set of CSV files. Let’s first define a couple of terms:
N_[clusterID] : number of significant trajectories that belong to cluster [clusterID].
L_[clusterID] : number of samples along the cluster centerline.
'-1': the missing data.
Now, the description of each file is as follows:
[prefix]_posterior[clusterID].csv A single column (N_[clusterID] x 1) whose each element is the membership probability of a trajectory in that cluster.
[prefix]_FA_cluster[clusterID].csv A matrix (N_[clusterID] x L_[clusterID]) whose each element(r,c) is the value of Fractional Anisotropy (FA) for trajectory r corresponding to sample c.
[prefix]_MD_cluster[clusterID].csv A matrix (N_[clusterID] x L_[clusterID]) whose each element(r,c) is the value of Mean Diffusivity (MD) for trajectory r corresponding to sample c.
[prefix]_Par_cluster[clusterID].csv A matrix (N_[clusterID] x L_[clusterID]) whose each element(r,c) is the value of parallel diffusivity (largest Eigen value of the tensor matrix) for trajectory r corresponding to sample c.
[prefix]_Per_cluster[clusterID].csv A matrix (N_[clusterID] x L_[clusterID]) whose each element(r,c) is the value of perpendicular diffusivity (mean value of the two Eigen values - other than the largest one - of the tensor matrix) for trajectory r corresponding to sample c.