4.7 Article

Collaborative annealing power k-means plus plus clustering

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

A new robust fuzzy c-means clustering method based on adaptive elastic distance

Yunlong Gao et al.

Summary: This paper proposes a new robust fuzzy c-means clustering method based on adaptive elastic distance (ARFCM) for image segmentation. By improving the ability to recognize cluster structure, ARFCM can better utilize neighborhood information, improve segmentation accuracy, and achieve clearer textures and more homogeneous regions in images.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Automation & Control Systems

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

Absalom E. Ezugwu et al.

Summary: Clustering is an essential tool in data mining, and there is a need for improved, flexible, and efficient clustering techniques. This study presents a comprehensive review of traditional and state-of-the-art clustering techniques, demonstrating the importance of clustering in various disciplines and fields such as big data, artificial intelligence, and robotics.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)

Article Computer Science, Artificial Intelligence

Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation

Jie Zhou et al.

Summary: A robust jointly sparse fuzzy clustering method is proposed, which learns representative prototypes, sparse membership grades, and an orthogonal projection matrix to achieve clustering analysis of high-dimensional data. The method improves the capability of fuzzy clustering for dealing with high-dimensional scenarios by conducting clustering in the transformed lower dimensional space.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Detecting Meaningful Clusters From High-Dimensional Data: A Strongly Consistent Sparse Center-Based Clustering Approach

Saptarshi Chakraborty et al.

Summary: In this paper, a simple and efficient sparse clustering algorithm called LW-k-means is proposed for high-dimensional data. The algorithm incorporates feature weighting to enable feature selection and has a time complexity similar to traditional algorithms. The strong consistency of the LW-k-means procedure is also established. Experimental results on synthetic and real-life datasets demonstrate that LW-k-means performs competitively in terms of clustering accuracy and computational time compared to existing methods for center-based high-dimensional clustering.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2022)

Article Computer Science, Artificial Intelligence

Subspace clustering via adaptive least square regression with smooth affinities

Lai Wei et al.

Summary: This paper proposes an adaptive weighted norm regularizer construction strategy using the adaptive graph construction method, and designs a new subspace clustering algorithm ALSR, which combines with LSR algorithm and considers smooth affinities. Experimental results demonstrate the superiority of ALSR.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Density Peak Clustering with connectivity estimation

Wenjie Guo et al.

Summary: The DPC algorithm has two main deficiencies, which are addressed by the DPC-CE algorithm through the introduction of connectivity information, enabling the correct identification of cluster centers with non-spherical shapes and non-uniform densities, and effectively addressing the 'chain reaction'.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities

Junhong Zhao et al.

Summary: In this paper, several adaptive dropout algorithms are proposed to improve the performance of spiking neural networks, and achieved promising results in the experiments.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization

Hangjun Che et al.

Summary: This article introduces a two-timescale duplex neurodynamic approach to mixed-integer optimization, utilizing two recurrent neural networks operating concurrently at two different timescales and employing particle swarm optimization for iterative updating of initial neuronal states. Despite its minimal system complexity, the method is almost surely convergent to optimal solutions and its superior performance is demonstrated through solving benchmark problems.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Multivehicle Task Assignment Based on Collaborative Neurodynamic Optimization With Discrete Hopfield Networks

Jiasen Wang et al.

Summary: This article introduces a collaborative neurodynamic optimization (CNO) approach for multivehicle task assignments, reformulating the original combinatorial optimization problem as a quadratic unconstrained binary optimization (QUBO) problem. By using a population of discrete Hopfield networks (DHNs) within the CNO framework, a task assignment algorithm is proposed for solving the QUBO problem, demonstrating superior experimental results in various multivehicle operation scenarios to validate the efficacy of the neurodynamics-based approach.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering

Yunxia Lin et al.

Summary: In this article, a new clustering algorithm CAF-HFCM is proposed, which can automatically agglomerate to form a cluster hierarchy and yield an optimal number of clusters without resorting to validity indices. Compared to existing algorithms, CAF-HFCM involves only one hyperparameter, making the adjustment simpler and reducing sensitivity to performance initialization.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

DP-GMM clustering-based ensemble learning prediction methodology for dam deformation considering spatiotemporal differentiation

Wenlong Chen et al.

Summary: The traditional dam health evaluation methods overlook the spatiotemporal diversity in deformation behavior. A comprehensive displacement prediction method is proposed, which achieves reliable identification of dam deformation and captures complex mappings through spatiotemporal clustering and machine learning algorithms, demonstrating excellent performance.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization

Man-Fai Leung et al.

Summary: This article focuses on portfolio selection using collaborative neurodynamic optimization, applying neural networks and particle swarm optimization algorithm. Experimental results with stock data from four major markets demonstrate the performance and characteristics of this approach in portfolio optimization.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Constrained bilinear factorization multi-view subspace clustering

Qinghai Zheng et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

A collaborative neurodynamic approach to global and combinatorial optimization

Hangjun Che et al.

NEURAL NETWORKS (2019)

Article Computer Science, Artificial Intelligence

Spectral Embedded Adaptive Neighbors Clustering

Qi Wang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization

Hangjun Che et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization

Shaofu Yang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

A Collaborative Neurodynamic Approach to Multiobjective Optimization

Man-Fai Leung et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization

Jianchao Fan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

A Collective Neurodynamic Approach to Constrained Global Optimization

Zheng Yan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization

Zheng Yan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

A collective neurodynamic optimization approach to bound-constrained nonconvex optimization

Zheng Yan et al.

NEURAL NETWORKS (2014)

Article Computer Science, Software Engineering

An improved column generation algorithm for minimum sum-of-squares clustering

Daniel Aloise et al.

MATHEMATICAL PROGRAMMING (2012)

Article Computer Science, Artificial Intelligence

An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization

Fengqin Yang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Computer Science, Artificial Intelligence

NP-hardness of Euclidean sum-of-squares clustering

Daniel Aloise et al.

MACHINE LEARNING (2009)

Article Computer Science, Artificial Intelligence

Agglomerative fuzzy K-Means clustering algorithm with selection of number of clusters

Mark Junjie Li et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2008)

Article Computer Science, Artificial Intelligence

An entropy weighting k-means algorithm for subspace clustering of high-dimensional sparse data

Liping Jing et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2007)

Article Computer Science, Artificial Intelligence

Document clustering using locality preserving indexing

D Cai et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)

Review Computer Science, Artificial Intelligence

Survey of clustering algorithms

R Xu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)

Article Computer Science, Artificial Intelligence

Mean shift: A robust approach toward feature space analysis

D Comaniciu et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2002)

Article Computer Science, Artificial Intelligence

Normalized cuts and image segmentation

JB Shi et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)

Article Mathematics, Applied

An interior point algorithm for minimum sum-of-squares clustering

O Du Merle et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2000)