Other processes such as random walks may also be useful to develop new approaches and applications including network characterization, comparison, classification, modeling and model evaluation.
This curve-shaped description of large networks offers a wealth of possibilities to develop new approaches and applications including network characterization, comparison, classification, modeling and model evaluation, differing from using a large bag of topological measures.
Sequence annotation, comparison, classification, and functional annotations were performed as described [ 31] using various software and databases.
For the purpose of comparison, classification of tumor samples was also performed with the optimal number of clusters determined using the Calinski-Harabasz pseudo F-statistic [ 36], and the robustness evaluated by bootstrap resampling analysis (n = 1000).
Simple and concise representations of protein-folding patterns provide powerful abstractions for visualizations, comparisons, classifications, searching and aligning structural data.
This approach has mainly three steps namely feature extraction, classification and comparison of classification.
Finally, as mentioned earlier, both the phoneme classification and semantic classification tasks require cognitive processes of comparison and classification going beyond speech perception and comprehension.
Table 8 Comparison of classification accuracy on the UCI breast cancer image set MLPE BoostNN DT-SVM-SMO Proposed Classification 97.10 96.25 91.67 97.28 accuracy .
A fair and unbiased comparison between classification techniques is crucial.
Traditionally, the comparison of classification systems is accomplished for a fixed feature set.
