TY - GEN
T1 - Ensemble learning for mapper parameter optimization
AU - Fitzpatrick, Padraig
AU - Jurek-Loughrey, Anna
AU - Dłotko, Pawel
AU - Martinez-del-Rincon, Jesus
PY - 2023/12/20
Y1 - 2023/12/20
N2 - The Mapper algorithm is a technique from TDA used to create low-dimensional graph-based representations of high-dimensional data, proven effective in numerous exploratory data analysis tasks. The Mapper algorithm’s output depends on several user-chosen parameters, and selecting their values is a non-trivial choice, significantly narrowing its potential application in real-world scenarios. Research attempting to assist in selection of the parameters has been very limited to date. This paper is the first one to address the selection of Mapper’s three parameters simultaneously. The proposed idea incorporates the concept of Ensemble Learning into the Mapper algorithm. Using several datasets with known labels, we show that our method outperforms two baselines in recovering the dataset structure.
AB - The Mapper algorithm is a technique from TDA used to create low-dimensional graph-based representations of high-dimensional data, proven effective in numerous exploratory data analysis tasks. The Mapper algorithm’s output depends on several user-chosen parameters, and selecting their values is a non-trivial choice, significantly narrowing its potential application in real-world scenarios. Research attempting to assist in selection of the parameters has been very limited to date. This paper is the first one to address the selection of Mapper’s three parameters simultaneously. The proposed idea incorporates the concept of Ensemble Learning into the Mapper algorithm. Using several datasets with known labels, we show that our method outperforms two baselines in recovering the dataset structure.
U2 - 10.1109/ICTAI59109.2023.00026
DO - 10.1109/ICTAI59109.2023.00026
M3 - Conference contribution
SN - 9798350342741
T3 - IEEE International Conference on Tools for Artificial Intelligence: proceedings
BT - Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th IEEE International Conference on Tools for Artificial Intelligence 2023
Y2 - 6 November 2023 through 8 November 2023
ER -