Curse of dimensionality for TSK fuzzy neural networks: Explanation and solutions
Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions (MFs) is one
of the most widely used fuzzy systems in machine learning. However, it usually has difficulty …
of the most widely used fuzzy systems in machine learning. However, it usually has difficulty …
Two graph-regularized fuzzy subspace clustering methods
This paper presents a new fuzzy subspace clustering (FSC) method which finds some
subspaces as clusters such that each point belongs to the nearest subspace with a certain …
subspaces as clusters such that each point belongs to the nearest subspace with a certain …
Graph Fuzzy System for the Whole Graph Prediction: Concepts, Models and Algorithms
Fuzzy systems (FSs) have been widely utilized in diverse domains, such as pattern
recognition, intelligent control, data mining, and bioinformatics due to their strong …
recognition, intelligent control, data mining, and bioinformatics due to their strong …
TSK Fuzzy System Optimization for High-Dimensional Regression Problems
To simultaneously resolve the curse of dimensionality and preserve the strong
interpretability of Takagi-Sugeno-Kang (TSK) fuzzy systems, linear dimensionality reduction …
interpretability of Takagi-Sugeno-Kang (TSK) fuzzy systems, linear dimensionality reduction …
Feature transformation framework for enhancing compactness and separability of data points in feature space for small datasets
Compactness and separability of data points are two important properties that contribute to
the accuracy of machine learning tasks such as classification and clustering. We propose a …
the accuracy of machine learning tasks such as classification and clustering. We propose a …
Graph Fuzzy System: Concepts, Models and Algorithms
Fuzzy systems (FSs) have enjoyed wide applications in various fields, including pattern
recognition, intelligent control, data mining and bioinformatics, which is attributed to the …
recognition, intelligent control, data mining and bioinformatics, which is attributed to the …