A review: accuracy optimization in clustering ensembles using genetic algorithms
The clustering ensemble has emerged as a prominent method for improving robustness, stability, and accuracy of unsupervised classification solutions. It combines multiple partitions generated by different clustering algorithms into a single clustering solution. Genetic algorithms are known as metho...
| Main Authors: | Ghaemi, Reza, Sulaiman, Md. Nasir, Ibrahim, Hamidah, Mustapha, Norwati |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2011
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/18474/ http://psasir.upm.edu.my/id/eprint/18474/1/A%20review.pdf |
Similar Items
Clustering ensemble learning method based on incremental genetic algorithms
by: Ghaemi, Reza
Published: (2012)
by: Ghaemi, Reza
Published: (2012)
Genetic algorithm-based clustering ensemble: determination number of clusters
by: Mohammadi, M., et al.
Published: (2010)
by: Mohammadi, M., et al.
Published: (2010)
Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
by: Sulaiman, Md. Nasir, et al.
Published: (2018)
by: Sulaiman, Md. Nasir, et al.
Published: (2018)
K-means clustering to improve the accuracy of decision tree response classification.
by: Ali, S. A., et al.
Published: (2009)
by: Ali, S. A., et al.
Published: (2009)
Advances in document clustering with evolutionary-based algorithms
by: Makki, Sarmad, et al.
Published: (2015)
by: Makki, Sarmad, et al.
Published: (2015)
An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units
by: Azadeh, A., et al.
Published: (2011)
by: Azadeh, A., et al.
Published: (2011)
An adaptive network based fuzzy inference system–genetic algorithm clustering ensemble algorithm for performance assessment and improvement of conventional power plants
by: Azadeh, A., et al.
Published: (2011)
by: Azadeh, A., et al.
Published: (2011)
Ensemble neural networks with input optimization for flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
Improving accuracy metric with precision and recall metrics for optimizing stochastic classifier
by: Hossin, Mohammad, et al.
Published: (2011)
by: Hossin, Mohammad, et al.
Published: (2011)
Solving classification problem using ensemble binarization classifier
by: Zainudin, Muhammad Noorazlan Shah, et al.
Published: (2018)
by: Zainudin, Muhammad Noorazlan Shah, et al.
Published: (2018)
A novel clustering based genetic algorithm for route optimization
by: Aibinu, Abiodun Musa, et al.
Published: (2016)
by: Aibinu, Abiodun Musa, et al.
Published: (2016)
Improving accuracy of intention-based response classification using decision tree.
by: Ali, S. A., et al.
Published: (2009)
by: Ali, S. A., et al.
Published: (2009)
A hybrid model using genetic algorithm and neural network for predicting dengue outbreak
by: Husin, Nor Azura, et al.
Published: (2012)
by: Husin, Nor Azura, et al.
Published: (2012)
Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm
by: Tan, Chee Kuan
Published: (2020)
by: Tan, Chee Kuan
Published: (2020)
K-gen phishguard: an ensemble approach for phishing detection with k-means and genetic algorithm
by: Al-Hafiz, Ali Raheem, et al.
Published: (2025)
by: Al-Hafiz, Ali Raheem, et al.
Published: (2025)
Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with the state-of-the-art ensemble algorithms
by: Agrawal, Utkarsh, et al.
Published: (2018)
by: Agrawal, Utkarsh, et al.
Published: (2018)
Performance analysis of clustering based genetic
algorithm
by: Najeeb, Athaur Rahman, et al.
Published: (2016)
by: Najeeb, Athaur Rahman, et al.
Published: (2016)
An Improved Genetic Clustering Algorithm for Categorical Data
by: Jasni, Mohamad Zain, et al.
Published: (2013)
by: Jasni, Mohamad Zain, et al.
Published: (2013)
Automatic clustering of gene ontology by genetic algorithm
by: Othman, Razib M., et al.
Published: (2006)
by: Othman, Razib M., et al.
Published: (2006)
Ensemble divide and conquer approach to solve the rating scores’ deviation in recommendation system
by: Al-Hadi, Ismail Ahmed Al-Qasem, et al.
Published: (2016)
by: Al-Hadi, Ismail Ahmed Al-Qasem, et al.
Published: (2016)
Video abstraction using density-based clustering algorithm
by: Chamasemani, Fereshteh Falah, et al.
Published: (2017)
by: Chamasemani, Fereshteh Falah, et al.
Published: (2017)
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
by: Rashid, Mamunur, et al.
Published: (2021)
by: Rashid, Mamunur, et al.
Published: (2021)
Different aspects of data stream clustering.
by: Khalilian, Madjid, et al.
Published: (2013)
by: Khalilian, Madjid, et al.
Published: (2013)
A new real coded genetic algorithm crossover: Rayleigh crossover
by: Lim, Siew Mooi, et al.
Published: (2014)
by: Lim, Siew Mooi, et al.
Published: (2014)
Knowledge-based genetic algorithm for multidimensional data clustering
by: Purnomo, Muhammad Ridwan Andi, et al.
Published: (2013)
by: Purnomo, Muhammad Ridwan Andi, et al.
Published: (2013)
Knowledge-based genetic algorithm for multidimensional data
clustering
by: Purnomo, Muhammad Ridwan Andi, et al.
Published: (2014)
by: Purnomo, Muhammad Ridwan Andi, et al.
Published: (2014)
Efficient genetic partitioning-around-medoid algorithm for clustering
by: Garib, Sarmad Makki Mohammed
Published: (2019)
by: Garib, Sarmad Makki Mohammed
Published: (2019)
CC_TRS: continuous clustering of trajectory stream data based on micro cluster life
by: Abdulrazzaq, Musaab Riyadh, et al.
Published: (2017)
by: Abdulrazzaq, Musaab Riyadh, et al.
Published: (2017)
Shape assignment by genetic algorithm towards designing optimal areas
by: Md Badaruddin, Ismadi, et al.
Published: (2010)
by: Md Badaruddin, Ismadi, et al.
Published: (2010)
Expectation maximization clustering algorithm for user modeling in web usage mining system
by: Mustapha, Norwati, et al.
Published: (2009)
by: Mustapha, Norwati, et al.
Published: (2009)
Data stream clustering by divide and conquer approach based on vector model
by: Khalilian, Madjid, et al.
Published: (2016)
by: Khalilian, Madjid, et al.
Published: (2016)
A customized non-exclusive clustering algorithm for news recommendation systems
by: Ibrahim, Hamidah, et al.
Published: (2019)
by: Ibrahim, Hamidah, et al.
Published: (2019)
A social network Peer-to-Peer model for peer clustering
by: Modarresi, Amir, et al.
Published: (2008)
by: Modarresi, Amir, et al.
Published: (2008)
Cluster optimization in VANET using MFO algorithm and K-Means clustering
by: Ramlee, Sham Rizal, et al.
Published: (2023)
by: Ramlee, Sham Rizal, et al.
Published: (2023)
Regionalization by fuzzy expert system based approach optimized by genetic algorithm.
by: Chavoshi, Sattar, et al.
Published: (2013)
by: Chavoshi, Sattar, et al.
Published: (2013)
New supervised multi layer feed forward neural network model to accelarate classification with high accuracy.
by: Asadi, Roya, et al.
Published: (2009)
by: Asadi, Roya, et al.
Published: (2009)
Genetic algorithm optimization for coefficient of FFT processor
by: Pang, Jia Hong, et al.
Published: (2010)
by: Pang, Jia Hong, et al.
Published: (2010)
Clustering Ensemble And Hybrid Of
Deep Learning For Spatio-Temporal
Crime Predictions
by: Butt, Umair Muneer
Published: (2024)
by: Butt, Umair Muneer
Published: (2024)
Travel time prediction using ensemble learning algorithms
by: Li, Xia
Published: (2018)
by: Li, Xia
Published: (2018)
Crossover and mutation operators of genetic algorithms
by: Lim, Siew Mooi, et al.
Published: (2017)
by: Lim, Siew Mooi, et al.
Published: (2017)
Similar Items
-
Clustering ensemble learning method based on incremental genetic algorithms
by: Ghaemi, Reza
Published: (2012) -
Genetic algorithm-based clustering ensemble: determination number of clusters
by: Mohammadi, M., et al.
Published: (2010) -
Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
by: Sulaiman, Md. Nasir, et al.
Published: (2018) -
K-means clustering to improve the accuracy of decision tree response classification.
by: Ali, S. A., et al.
Published: (2009) -
Advances in document clustering with evolutionary-based algorithms
by: Makki, Sarmad, et al.
Published: (2015)