A Grid-Density Based Algorithm by Weighted Spiking Neural P Systems with Anti-Spikes and Astrocytes in Spatial Cluster Analysis
In this paper, we propose a novel clustering approach based on P systems and grid- density strategy. We present grid-density based approach for clustering high dimensional data, which first projects the data patterns on a two-dimensional space to overcome the curse of dimensionality problem. Then, t...
Main Authors: | Deting Kong, Yuan Wang, Xinyan Wu, Xiyu Liu, Jianhua Qu, Jie Xue |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Processes |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9717/8/9/1132 |
Similar Items
-
Optimization of Spiking Neural Networks Based on Binary Streamed Rate Coding
by: Ali A. Al-Hamid, et al.
Published: (2020-09-01) -
Benchmarking Spike-Based Visual Recognition: a Dataset and Evaluation
by: Qian Liu, et al.
Published: (2016-11-01) -
Sea spike modeling
by: Kuo, Chin-Chuan
Published: (Dece) -
Parallel Density-Based Clustering Algorithm by Using Weighted Grid and Information Entropy
by: HU Jian, XU Kaibin, MAO Yimin
Published: (2020-12-01) -
A Supervised Learning Algorithm for Spiking Neurons Using Spike Train Kernel Based on a Unit of Pair-Spike
by: Guojun Chen, et al.
Published: (2020-01-01)