Spectral Clustering of Mixed-Type Data
Cluster analysis seeks to assign objects with similar characteristics into groups called clusters so that objects within a group are similar to each other and dissimilar to objects in other groups. Spectral clustering has been shown to perform well in different scenarios on continuous data: it can d...
Main Authors: | Felix Mbuga, Cristina Tortora |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Stats |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-905X/5/1/1 |
Similar Items
-
Advancing Spectral Clustering for Categorical and Mixed-Type Data: Insights and Applications
by: Cinzia Di Nuzzo
Published: (2024-02-01) -
Clustering graph data: the roadmap to spectral techniques
by: Rahul Mondal, et al.
Published: (2024-01-01) -
Fair Method for Spectral Clustering to Improve Intra-cluster Fairness
by: XU Xia, ZHANG Hui, YANG Chunming, LI Bo, ZHAO Xujian
Published: (2023-02-01) -
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation
by: Wenna Huang, et al.
Published: (2021-03-01) -
PolSAR Image Classification Method Based on Markov Discriminant Spectral Clustering
by: ZHANG Xiangrong, et al.
Published: (2019-08-01)