Outlier Detection in High Dimensional Data
| Main Authors: | Anusha L., Nagaraja G S. |
|---|---|
| Other Authors: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/5518914 |
Daftar Isi:
- Artificial intelligence (AI) is the science that allows computers to replicate human intelligence in areas such as decision-making, text processing, visual perception. Artificial Intelligence is the broader field that contains several subfields such as machine learning, robotics, and computer vision. Machine Learning is a branch of Artificial Intelligence that allows a machine to learn and improve at a task over time. Deep Learning is a subset of machine learning that makes use of deep artificial neural networks for training. The paper proposed on outlier detection for multivariate high dimensional data for Autoencoder unsupervised model.