|Table of Contents|

Neuron Network Tree and Artificial Bee Colony OptimizationBased Data Clustering Algorithm(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2021年01期
Page:
119-127
Research Field:
·计算机科学与技术·
Publishing date:

Info

Title:
Neuron Network Tree and Artificial Bee Colony OptimizationBased Data Clustering Algorithm
Author(s):
Ji Shanshan
Department of Computer Enginneering,Dongguan Polytechnic,Dongguan 523808,China
Keywords:
high dimensional data; neuron network tree; artificial bee optimization; clustering algorithm; feature selection
PACS:
TP391
DOI:
10.3969/j.issn.1001-4616.2021.01.017
Abstract:
Focusing on the“curse of dimensionality”problem caused by high dimensional data,a neuron network tree and artificial bee colony optimization based clustering algorithm for high dimensional data is designed. Firstly,an improved binary artificial bee optimization algorithm is designed,the accuracy of radial basis function network is maximized by a wrapper method,the feature redundancy is minimized by a filter method; then,a radial basis function network is trained by samples corresponding to each feature,a neuron tree that each node consists of a radial basis function network is constructed; finally,the gating network is adopted to separate the jointed clusters to output the final results. Simulation experiments are done based on both high dimensional datasets and low dimensional datasets,the results show that the proposed algorithm realizes good clustering accuracy to high dimensional datasets.

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Last Update: 2021-03-15