Sentence examples for implement the classification from inspiring English sources
Easiness to implement the classification between features.
In this model, the agglomerative hierarchical clustering method will first be used to determine the number of clusters and initial centroids, and K-means algorithm will be used to implement the classification in detail.
Text feature must have the following characteristics: (1) The ability to distinguish features of the target and the non-target texts (2) The ability to clearly express and identify text content (3) Easiness to implement the classification between features (4) The number of features should not be too many .
This method can now be used to test both ruminant and human samples to identify similarities and differences in their molecular protein signatures, and to implement the classification of ruminant and possibly human strains.
We implemented the classification procedure into an LIBSVM [18] for linear and nonlinear (radial basis) kernel types.
To improve the model of prediction of true negatives we also implemented the classification with cost matrix in Weka and tested our data sets.
Moreover the strategy sets a dynamic control mechanism with an increasing parameter p for implementing the classification operation, which provides ordinary particles an increasing sense of evolution into communication particles during the searching process.
Filippone et al. implemented the classification method SVM in their input selection algorithm [ 28, 29].
When implementing the classifications based on all the nodules (using the mean and median percentages of viable tumour cells, or the mean and median TRG), or the worse nodule (using the percentage of viable tumour cells or the TRG), no superiority between these methods was seen when applied to our patients.
The paper believes that the tweets with the label of a certain sentiment category belong to the category, so as to implement the automatic classification of the machine.
In general, these data vocabulary can be letters, words, syllables, and so on, and we use N-gram model to implement the automatic classification of emotion.
