In analyzing students’ performance in schools, the conventional method normally been used is known as the ranking approach. However, such a method does not take into account the different levels of performance achiev...
详细信息
In analyzing students’ performance in schools, the conventional method normally been used is known as the ranking approach. However, such a method does not take into account the different levels of performance achieved by students in different subjects at a particular time. Apart from that, the ranking approach is likely to be more sensitive to extreme values and thus may not give an accurate picture on the level of students’ performance based on various subjects. In this study an alternative approach namely cheng and church's biclustering algorithm was used to portray students’ profile by simultaneously grouping the students’ performance and their related subjects. By using the heatmaps, we can effectively identify specific group of students in a class who need help such as the poor performing students and their related subjects.
cheng and church algorithm is an important approach in biclustering algorithms. In this paper, the process of the extended space in the second stage of cheng and church algorithm is improved and the selections of two ...
详细信息
cheng and church algorithm is an important approach in biclustering algorithms. In this paper, the process of the extended space in the second stage of cheng and church algorithm is improved and the selections of two important parameters are discussed. The results of the improved algorithm used in the gene expression spectrum analysis show that, compared with cheng and church algorithm, the quality of clustering results is enhanced obviously, the mining expression models are better, and the data possess a strong consistency with fluctuation on the condition while the computational time does not increase significantly.
暂无评论