학술행사
Topological data analysis and its application
등록일자 : 2018-09-10- 발표자 경성현 박사(연세의료원)
- 개최일시 2018-09-11 16:00
- 장소 연구교류센터 중형세미나실
1. 제목: Topological data analysis and its application
2. 연사: 경성현 박사(연세의료원)
3. 장소와 시간: 9월 11일 오후 4시 캠프 중형강의실
4. 초록
In the era of big data, supervised and unsupervised machine learning techniques were developed. These technologies
play a pivotal role in leading the artificial intelligence industry. In AI research, the prediction of new data is important
issue, and also identification (or definition) of subgroups is critical for the better results. In fact, the precise subgrouping
is important toward precision medicine. Topological data analysis (TDA) is the recently developed approach to identify
hidden subgroups based on the topology-based partial clustering technique. Mathematical background underlying TDA
and its application to the various research domains will be introduced during this seminar.
1. 제목: Topological data analysis and its application
2. 연사: 경성현 박사(연세의료원)
3. 장소와 시간: 9월 11일 오후 4시 캠프 중형강의실
4. 초록
In the era of big data, supervised and unsupervised machine learning techniques were developed. These technologies
play a pivotal role in leading the artificial intelligence industry. In AI research, the prediction of new data is important
issue, and also identification (or definition) of subgroups is critical for the better results. In fact, the precise subgrouping
is important toward precision medicine. Topological data analysis (TDA) is the recently developed approach to identify
hidden subgroups based on the topology-based partial clustering technique. Mathematical background underlying TDA
and its application to the various research domains will be introduced during this seminar.
