Results 21 to 30 of about 2,690,463 (245)
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
core +1 more source
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
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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
doaj +1 more source
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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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Wei Yu +7 more
core +2 more sources
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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Survey of Clustering Algorithms [PDF]
IEEE Transactions on Neural Networks, 2005 Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion.
Rui Xu 0001, Donald C. Wunsch II
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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
doaj +1 more source
Multibondic cluster algorithm [PDF]
Nuclear Physics B - Proceedings Supplements, 1995 3 pages, uuencoded compressed postscript file, contribution to the LATTICE'94 ...
Janke, Wolfhard, Kappler, Stefan
openaire +2 more sources