Minh Thuy Ta

According to our database, Minh Thuy Ta authored at least 9 papers between 2012 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

A clustering algorithm based on elitist evolutionary approach.

Lydia Boudjeloud-Assala, Ta Minh Thuy

Int. J. Bio Inspired Comput., 2017

2015

An Improvement of Stability Based Method to Clustering.

Ta Minh Thuy, Le Thi Hoai An

Proceedings of the Advanced Computational Methods for Knowledge Engineering - Proceedings of 3rd International Conference on Computer Science, Applied Mathematics and Applications, 2015

2014

Non convex optimization techniques based on DC programming and DCA and evolution methods for clustering. (Techniques d'optimisation non convexe basée sur la programmation DC et DCA et méthodes évolutives pour la classification non supervisée).

Minh Thuy Ta

PhD thesis, 2014

DC Programming and DCA for Solving Minimum Sum-of-Squares Clustering Using Weighted Dissimilarity Measures.

Le Hoai Minh, Minh Thuy Ta

Trans. Comput. Collect. Intell., 2014

Determine Optimal Number of Clusters with an Elitist Evolutionary Approach.

Lydia Boudjeloud-Assala, Minh Thuy Ta

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013

Clustering Data Streams over Sliding Windows by DCA.

Minh Thuy Ta, Le Thi Hoai An, Lydia Boudjeloud-Assala

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2013

Image Segmentation via Feature Weighted Fuzzy Clustering by a DCA Based Algorithm.

Le Hoai Minh, Bich Thuy Nguyen Thi, Minh Thuy Ta, Le Thi Hoai An

Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2013

An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach.

Minh Thuy Ta, Le Thi Hoai An, Lydia Boudjeloud-Assala

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Clustering Data Stream by a Sub-window Approach Using DCA.

Minh Thuy Ta, Le Thi Hoai An, Lydia Boudjeloud-Assala

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012