An adaptive co|evolutionary clustering algorithm

An evolutionary adaptive clustering algorithm - ACM Digital Library

Adacluster algorithm is completely based on self evolution pattern, and can determine the number of clusters without any prior parameters. The ...

An adaptive clustering-based evolutionary algorithm for many ...

An adaptive clustering strategy (ACS) is proposed in MaOEA/AC to divide the population into multiple clusters, which intends to properly fit various PFs of the ...

[1104.1990] Adaptive Evolutionary Clustering - arXiv

The proposed framework can be used to extend a variety of static clustering algorithms, including hierarchical, k-means, and spectral clustering ...

An evolutionary adaptive clustering algorithm - ACM Digital Library

An evolutionary adaptive clustering algorithm ... Adacluster algorithm includes two stages: cluster number self evolution stage and label propagation stage.

[PDF] Adaptive evolutionary clustering - Semantic Scholar

This paper presents an evolutionary clustering framework that adaptively estimates the optimal smoothing parameter using shrinkage estimation, a statistical ...

A Clustering-Based Adaptive Evolutionary Algorithm for ...

To remedy this issue, a clustering-based adaptive MOEA (CA-MOEA) is proposed in this paper for solving MOPs with irregular Pareto fronts. The ...

A Co-Evolutionary Multi-Objective approach for a K-adaptive graph ...

This work presents a new algorithm inspired by SC algorithm, the Co-Evolutionary Multi-Objective Genetic Graph-based Clustering (CEMOG) algorithm, which is ...

Adaptive evolutionary clustering | Data Mining and Knowledge ...

Several evolutionary clustering algorithms have recently been proposed, often by adding a temporal smoothness penalty to the cost function of a ...

(PDF) Adaptive Evolutionary Clustering - ResearchGate

The proposed framework can be used to extend a variety of static clustering algorithms, including hierarchical, k-means, and spectral clustering, into ...

Adaptive evolutionary clustering Kevin S. Xu, Mark Kliger & Alfred O ...

The proposed framework can be used to extend a variety of static clustering algorithms, including hierarchical, k-means, and spectral clustering ...

Adaptive Evolutionary Clustering Algorithm Star (iECA*)

Request PDF | Adaptive Evolutionary Clustering Algorithm Star (iECA*) | Clustering is a commonly used method for exploring and analysing ...

An extended evolutionary clustering algorithm for an adaptive ...

The evolutionary clustering method could serve as the core module for matching user profile and its evolving nature. As clustering is depicted ...

Adaptive evolutionary clustering - ProQuest

Experiments on synthetic and real data sets indicate that the proposed framework outperforms static clustering and existing evolutionary clustering algorithms ...

Formal context reduction in deriving concept hierarchies from ... - arXiv

The adaptive ECA* is examined against its four counterpart baseline algorithms to measure the execution time on random datasets with different ...

Evolutionary spectral clustering with adaptive forgetting factor

In these applications, evolutionary clustering can be applied to the data to track changes in clusters with time. In this paper, we consider an evolutionary ...

An adaptive dynamic community detection algorithm based on multi ...

This paper proposes a community detection algorithm that integrates evolutionary clustering and decomposition-based multi-objective optimization ...

A Co-Evolutionary Multi-Objective Approach for a K-Adaptive Graph ...

This new approach shows its competitive performance, compared to several classical clustering algorithms (EM, SC and K-means), through a set of experiments ...

A Differential Evolution Algorithm With Adaptive Niching and K ...

Clustering, as an important part of data mining, is inherently a challenging problem. This article proposes a differential evolution algorithm with adaptive ...

Self-adaptive evolutionary algorithm for multispectral remote ...

This algorithm uses the evolutionary programming (EP) to search the optimal clustering and bases on the principles of the K-means algorithm. The ...

A clustering-assisted adaptive evolutionary algorithm based on ...

A clustering-assisted adaptive evolutionary algorithm based on decomposition for multimodal multiobjective optimization ; Publication status ...