In addition, linear regression with the least squares means method was used to determine adjusted mean values attributable to SSI due to MRSA and methicillin-resistance for postoperative total hospital days and 90-day hospital charges.
Cluster analysis (k means method) was used to identify the subgroups of patients homogeneous with respect to overall adaptation to disease, and analysis of variance was applied to compare the mean scores on social support dimensions between the identified subgroups.
First, RPFM adopts the k-means method to partition the training set.
The proposed RPFM algorithm takes advantage of k-means method to partition the training set.
And we use spectral partitioning method and Fuzzy C-means method to partition the network into a fixed optimal number of clusters respectively.
In the previously reported method based on KPCA [8], they only applied the simple k-means method to the known low-frequency components for the clustering and the classification.
Some algorithms to extend the popular K-means method to the analysis of streaming data are present in literature since 1998 (Bradley et al. in Scaling clustering algorithms to large databases. In: KDD.
4We have also estimated the probability of being overeducated using the mean method to define the educational norm within occupation.
The latter analysis required us to extend the original sparse k-means method to accommodate multiple datasets from different sources.
Based on the K S distances, we then use the K-means method to cluster codon/amino acid compositions into different purine sensitivity groups.
Preliminary hierarchical clustering suggested that there were four clusters; we then applied K-means method to cluster all 1830 genes into four clusters (Additional file 1).
