Exploring Multidimensional Spatiotemporal Point Patterns Based on an Improved Affinity Propagation Algorithm
Affinity propagation (AP) is a clustering algorithm for point data used in image recognition that can be used to solve various problems, such as initial class representative point selection, large-scale sparse matrix calculations, and large-scale data with fewer parameter settings. However, the AP c...
Main Authors: | Haifu Cui, Liang Wu, Zhanjun He, Sheng Hu, Kai Ma, Li Yin, Liufeng Tao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
|
Series: | International Journal of Environmental Research and Public Health |
Subjects: | |
Online Access: | https://www.mdpi.com/1660-4601/16/11/1988 |
Similar Items
-
Adaptive Graph Convolution Using Heat Kernel for Attributed Graph Clustering
by: Danyang Zhu, et al.
Published: (2020-02-01) -
Davies Bouldin Index Algorithm for Optimizing Clustering Case Studies Mapping School Facilities
by: Yudhistira Arie Wijaya, et al.
Published: (2021-08-01) -
Penentuan Klaster Koridor TransJakarta dengan Metode Majority Voting pada Algoritma Data Mining
by: Arief Wibowo, et al.
Published: (2021-06-01) -
A new fusion algorithm for fuzzy clustering
by: Ivan Vidović, et al.
Published: (2014-12-01) -
An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE
by: Lin Sun, et al.
Published: (2018-01-01)