MIclust: A Clustering Algorithm for High Dimensional Data
- Resource Type
- Conference
- Authors
- Jain, Namita; Ghosh, Susmita; Ientilucci, Emmett J.
- Source
- IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :7280-7283 Jul, 2023
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Clustering methods
Geoscience and remote sensing
Clustering algorithms
Indexes
Mutual information
Hyperspectral imaging
Unsupervised learning
mutual information
distance
- Language
- ISSN
- 2153-7003
This paper presents a method for identifying clusters in hyperspectral images. A new mutual information based similarity index named k-MIDI is proposed. This index, k-MIDI is used for hierarchical clustering of random samples from the data. The remaining observations are assigned to the clusters based on their nearest neighbours.