Computational Intelligence Techniques for Data Analysis
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Summary
The paper is a survey of the computational intelligence methods and their application to the data analysis problems and new clustering algorithms that can operate under substantial uncertainty and cluster overlap are proposed.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 37
- References
- 66
- OpenAlex
- https://openalex.org/W42564530
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1609781
Keywords
Computer science, Computational intelligence, Soft computing, Artificial intelligence, Cluster analysis
References
- A Fuzzy Clustering and Fuzzy Merging Algorithm
- An adaptive learning algorithm for a neo fuzzy neuron
- Analysis of an associative memory neural network for pattern identification in gene expression data
- Neural Networks and Fuzzy Systems
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Gradient based fuzzy c-means (GBFCM) algorithm
- Neural networks for optimization and signal processing
- A new learning algorithm for a forecasting neuro-fuzzy network
- A fuzzy logic approach to analyzing gene expression data.
- Sequential fuzzy cluster extraction and its robustness against noise
- Fuzzy clustering with a fuzzy covariance matrix
- Approximate Clustering Via the Mountain Method
- Constructing a fuzzy controller from data
- Estimation by the nearest neighbor rule
- Robust regression using iteratively reweighted least-squares
- Fuzzy competitive learning
- Failure Diagnosis and Performance Monitoring
- Unsupervised Optimal Fuzzy Clustering
- Neuro-fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence
- Pattern Recognition with Fuzzy Objective Function Algorithms
Cited by
- A Computational Intelligence Approach to Clustering of Temporal Data
- Evidential evolving Gustafson-Kessel algorithm for online data streams partitioning using belief function theory
- An evolving neuro-fuzzy system for online fuzzy clustering
- Matrix Neuro-Fuzzy Self-Organizing Clustering Network
- Adaptive fuzzy clustering with a variable fuzzifier
- ADAPTIVE FUZZY PROBABILISTIC CLUSTERING OF INCOMPLETE DATA
- CROSS INTERSECTION SEQUEL OF DISCRETE ISOPERIMETRY 1
- Investigating data mining techniques for extracting information from Alzheimer's disease data
- Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks
- An Ensemble of Adaptive Neuro-Fuzzy Kohonen Networks for Online Data Stream Fuzzy Clustering
- Possibilistic Fuzzy Clustering for Categorical Data Arrays Based on Frequency Prototypes and Dissimilarity Measures
- Fuzzy Clustering Data Arrays with Omitted Observations
- An evolving connectionist system for data stream fuzzy clustering and its online learning
- A neuro-fuzzy Kohonen network for data stream possibilistic clustering and its online self-learning procedure
- A Multidimensional Extended Neo-Fuzzy Neuron for Facial Expression Recognition
- Kernel Fuzzy Kohonen’s Clustering Neural Network and It’s Recursive Learning
- Scenario of Interaction of the Mobile Technical Objects in the Process of Transmission of Data Streams in Conditions of Impacting the Powerful Electromagnetic Field
- Data Stream Online Clustering Based on Fuzzy Expectation-Maximization Approach
- Online Neuro Fuzzy Clustering of Data with Omissions and Outliers based on Сompletion Strategy
- An approach on the implementation of full batch, online and mini-batch learning on a Mamdani based neuro-fuzzy system with center-of-sets defuzzification: Analysis and evaluation about its functionality, performance, and behavior
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