A novel hybrid knowledge of firefly and pso swarm intelligence algorithms for efficient data clustering

2017 ◽  
Vol 33 (6) ◽  
pp. 3529-3538 ◽  
Author(s):  
Malihe Danesh ◽  
Hossein Shirgahi
Keyword(s):  
Swarm Intelligence ◽  
Data Clustering ◽  
Hybrid Knowledge ◽  
Efficient Data

scholarly journals A General Framework for Mixed and Incomplete Data Clustering Based on Swarm Intelligence Algorithms

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 786
Author(s):  
Yenny Villuendas-Rey ◽  
Eley Barroso-Cubas ◽  
Oscar Camacho-Nieto ◽  
Cornelio Yáñez-Márquez
Keyword(s):  
Swarm Intelligence ◽  
Data Clustering ◽  
Incomplete Data ◽  
Missing Values ◽  
Clustering Algorithms ◽  
Bat Algorithm ◽  
Hybrid Features ◽  
Bee Colony ◽  
Learning Tasks ◽  
Clustering Data

Swarm intelligence has appeared as an active field for solving numerous machine-learning tasks. In this paper, we address the problem of clustering data with missing values, where the patterns are described by mixed (or hybrid) features. We introduce a generic modification to three swarm intelligence algorithms (Artificial Bee Colony, Firefly Algorithm, and Novel Bat Algorithm). We experimentally obtain the adequate values of the parameters for these three modified algorithms, with the purpose of applying them in the clustering task. We also provide an unbiased comparison among several metaheuristics based clustering algorithms, concluding that the clusters obtained by our proposals are highly representative of the “natural structure” of data.

scholarly journals A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 50347-50361 ◽  
Author(s):  
Neha Bharill ◽  
Om Prakash Patel ◽  
Aruna Tiwari ◽  
Lifeng Mu ◽  
Dong-Lin Li ◽  
...  
Keyword(s):  
Data Clustering ◽  
Fuzzy Approach ◽  
Efficient Data
Sign in / Sign up

Export Citation Format

Share Document