Results 21 to 30 of about 866,547 (282)
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
A.P. Dempster +8 more
core +3 more sources
International Journal of Neural Systems, 2008 We introduce a set of clustering algorithms whose performance function is such that the algorithms overcome one of the weaknesses of K-means, its sensitivity to initial conditions which leads it to converge to a local optimum rather than the global optimum.
Barbakh, Wesam, Fyfe, Colin
openaire +3 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
doaj +1 more source
CUR Decompositions, Similarity Matrices, and Subspace Clustering [PDF]
, 2018 A general framework for solving the subspace clustering problem using the CUR decomposition is presented. The CUR decomposition provides a natural way to construct similarity matrices for data that come from a union of unknown subspaces $\mathscr{U ...
Aldroubi, Akram +3 more
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Hierarchical growing cell structures: TreeGCS [PDF]
, 2001 We propose a hierarchical clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm refines and builds upon the GCS base, overcoming an inconsistency in the original GCS algorithm, where the ...
Austin, J., Hodge, V.J.
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ConDPC: Data Connectivity-Based Density Peak Clustering
Applied Sciences, 2022 As a relatively novel density-based clustering algorithm, Density peak clustering (DPC) has been widely studied in recent years. DPC sorts all points in descending order of local density and finds neighbors for each point in turn to assign all points to ...
Yujuan Zou, Zhijian Wang
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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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Graph Clustering Algorithm Based on Node Clustering Complexity [PDF]
Jisuanji kexue, 2023 Graph clustering is an important task in the analysis of complex networks,which can reveal the community structure within a network.However,clustering complexity of nodes varies throughout the network.To address this issue,a graph clustering algorithm ...
ZHENG Wenping, WANG Fumin, LIU Meilin, YANG Gui
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Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost [PDF]
, 2019 Several clustering frameworks with interactive (semi-supervised) queries have been studied in the past. Recently, clustering with same-cluster queries has become popular.
Saha, Barna, Subramanian, Sanjay
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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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