Page 33 - Data Science Algorithms in a Week

18 Ramazan Ünlü

Fischer, B., & Buhmann, J. M. (2003). Bagging for path-based clustering. IEEE
Transactions on pattern analysis and machine intelligence, 25(11), 1411-1415.
Fred, A. (2001). Finding consistent clusters in data partitions International Workshop on
Multiple Classifier Systems (pp. 309-318): Springer.
Fred, A. L., & Jain, A. K. (2005). Combining multiple clusterings using evidence
accumulation. IEEE Transactions on pattern analysis and machine intelligence,
27(6), 835-850.
Ghaemi, R., Sulaiman, M. N., Ibrahim, H., & Mustapha, N. (2009). A survey: clustering
ensembles techniques. World Academy of Science, Engineering and Technology, 50,
636-645.
Gluck, M. (1989). Information, uncertainty and the utility of categories. Paper presented
at the Proc. of the 7th Annual Conf. of Cognitive Science Society.
Grira, N., Crucianu, M., & Boujemaa, N. (2005). Active semi-supervised fuzzy clustering
for image database categorization Proceedings of the 7th ACM SIGMM international
workshop on Multimedia information retrieval (pp. 9-16): ACM.
Gupta, M., & Verma, D. (2014). A Novel Ensemble Based Cluster Analysis Using
Similarity Matrices & Clustering Algorithm (SMCA). International Journal of
Computer Application, 100(10), 1-6.
Hadjitodorov, S. T., Kuncheva, L. I., & Todorova, L. P. (2006). Moderate diversity for
better cluster ensembles. Information Fusion, 7(3), 264-275.
Haghtalab, S., Xanthopoulos, P., & Madani, K. (2015). A robust unsupervised consensus
control chart pattern recognition framework. Expert Systems with Applications,
42(19), 6767-6776.
Hong, Y., Kwong, S., Chang, Y., & Ren, Q. (2008). Unsupervised feature selection using
clustering ensembles and population based incremental learning algorithm. Pattern
Recognition, 41(9), 2742-2756.
Hu, X., Yoo, I., Zhang, X., Nanavati, P., & Das, D. (2005). Wavelet transformation and
cluster ensemble for gene expression analysis. International journal of bioinformatics
research and applications, 1(4), 447-460.
Huang, D., Lai, J., & Wang, C.-D. (2016). Ensemble clustering using factor graph.
Pattern Recognition, 50, 131-142.
Huang, D., Wang, C.-D., & Lai, J.-H. (2016). Locally Weighted Ensemble Clustering.
arXiv preprint arXiv:1605.05011.
Iam-On, N., Boongeon, T., Garrett, S., & Price, C. (2012). A link-based cluster ensemble
approach for categorical data clustering. IEEE Transactions on knowledge and data
engineering, 24(3), 413-425.
Iam-On, N., & Boongoen, T. (2012). Improved link-based cluster ensembles Neural
Networks (IJCNN), The 2012 International Joint Conference on (pp. 1-8): IEEE.