Results 21 to 30 of about 3,133,945 (255)
SACOC: A spectral-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
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MACOC: a medoid-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
core +1 more source
A Short Text Clustering Algorithm Based on Spectral Cut [PDF]
Jisuanji gongcheng, 2016 Short text has the characteristics of sparsity and high dimension,and the existing clustering algorithm for the large-scale short text has low accuracy and efficiency.Aiming at this problem,a novel clustering method based on spectral clustering theory ...
LI Xiaohong,XIE Meng,MA Huifang,HE Tingnian
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Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
core +5 more sources
Research on the dynamic division and management of resources on multiprocessor system-on-chip
Dianzi Jishu Yingyong, 2018 To increase the scalability of cores, many methods are used, including Network on Chip(NoC) and cluster-based distributed management scheme. The application-based re-clustering algorithm has been delved deeply, while fixed-sized cluster is less developed,
Jia Minzheng, Fu Fangfa
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Arbitrary Shape Clustering Algorithm Based on Hierarchy and Density [PDF]
Jisuanji gongcheng, 2016 Based on the hierarchical clustering algorithm and density clustering algorithm,a novel arbitrary shape clustering algorithm is proposed.In this algorithm,the dataset is divided into a large number of initial sub-clusters by finding the initial ...
XU Heli,NIU Lijun
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A Weighted Sum Validity Function for Clustering with a Hybrid Niching Genetic Algorithm [PDF]
, 2005 Clustering is inherently a difficult problem, both with respect to the construction of adequate objective functions as well as to the optimization of the objective functions.
Liu, X +11 more
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KM-FCM: A fuzzy clustering optimization algorithm based on Mahalanobis distance
Journal of Hebei University of Science and Technology, 2018 The traditional fuzzy clustering algorithm uses Euclidean distance as the similarity criterion, which is disadvantageous to the multidimensional data processing.
Zhiwen ZU, Qin LI
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Differential evolution-based transfer rough clustering algorithm
Complex & Intelligent Systems, 2023 Due to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of the available data is limited or the data are disturbed by noise, the rough clustering algorithms always
Feng Zhao, Chaofei Wang, Hanqiang Liu
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Entropy, 2022 Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is a widely used algorithm for exploratory clustering applications. Despite the DBSCAN algorithm being considered an unsupervised pattern recognition method, it has two parameters that ...
Juan Carlos Perafan-Lopez +3 more
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