Sentence examples for the incomplete data set from inspiring English sources

However, the DNA microarray data set usually contain multiple missing value and therefore, selection of important genes using the incomplete data set may be erroneous, resulting misclassification in disease prediction.

It tackles data incompleteness in the post-processing phase by means of the mean value at each dimension of each cluster for missing data in the same cluster after performing the self-organizing map on the incomplete data set in the complete data subspace.

However, the incomplete data set in this study does not permit an analysis of this phenomenon.

Moreover, Robustness test of the WDCM on clustering the incomplete data set was also presented in this section.

The incomplete data set is completed by iterative imputation of the missing values with the corresponding imputation model.

Here, for step 1, a bootstrap sample was taken from the incomplete data set and then MI was performed 10 times.

Inferences derived from this incomplete data set have to be taken with caution, though.

Besides, the incomplete data sets that become completed after the data clustering task can be utilized in other mining tasks such as classification and association analysis.

Finally, we tested the robustness of the WDCM on clustering the incomplete data sets.

Moreover, the robustness of WDCM is also evaluated on the incomplete data sets.

Approximately 20% of the data had to be discarded because of incorrect probe placements, a blockade of the microdialysis probes, a blockade of the jugular catheter, non-sufficient recovery of the animal from the operation, or an incomplete data set.