Yali Wang
- Zheng Hongbin, PENG Peng, MAO Linqing. Investigation and Protection of Confucian Cultural Heritage in Hebei Province [J]. Journal of Shijiazhuang Railway University (Social Science Edition), 2012,12(03):86-90+102.Google Scholar
- Du Xinyue. Research on the Status quo and Countermeasures of Contemporary College Students' Confucian Cultural Cognition [D]. Northwest University,2017.Google Scholar
- Yang Wei. Analysis on the status quo and countermeasures of contemporary college students’ culture identity[J]. Academic theory, 2014(06): 148-149Google Scholar
- Yan liang. Dissemination and integration of Confucian culture in Tibet – centered on ancient Tibetan Confucian education [J]. Journal of southwest university for nationalities (humanities and social sciences edition),2019,40(08):204-210.Google Scholar
- Li Xiaotao. Practical Exploration of The Overseas Dissemination of Confucian Culture – A Case Study of The Confucius Theme Exhibition in Shandong Museum [J]. World of Humanities, 2018(22):74-76.Google Scholar
- Yan Wenjing. Heritage Protection and Creative Development of Confucian Cultural Resources in Qufu from the perspective of global Tourism [J]. Chinese Ethnic Review,2020(08):60-61.Google Scholar
Recommendations
Hybrid Bisect K-Means Clustering Algorithm
BCGIN '11: Proceedings of the 2011 International Conference on Business Computing and Global InformatizationIn this paper, we present a hybrid clustering algorithm that combines divisive and agglomerative hierarchical clustering algorithm. Our method uses bisect K-means for divisive clustering algorithm and Unweighted Pair Group Method with Arithmetic Mean (...
Clustering stability-based Evolutionary K-Means
Evolutionary K-Means (EKM), which combines K-Means and genetic algorithm, solves K-Means' initiation problem by selecting parameters automatically through the evolution of partitions. Currently, EKM algorithms usually choose silhouette index as cluster ...
RK-Means Clustering: K-Means with Reliability
This paper presents an RK-means clustering algorithm which is developed for reliable data grouping by introducing a new reliability evaluation to the K-means clustering algorithm. The conventional K-means clustering algorithm has two shortfalls: 1) the ...
Comments