Results 311 to 320 of about 3,381,889 (354)

Hierarchical clustering analysis of musculoskeletal stress factors and their risk level in cardboard manufacturing: research from PLIBEL. [PDF]

J Occup Health
Contreras-Valenzuela MR, Martínez-Ibanez CA.   +1 more
europepmc   +1 more source

Tracking and Profiling Repeated Users Over Time in Text-Based Counseling: Longitudinal Observational Study With Hierarchical Clustering.

J Med Internet Res
Xu Y, Chan CS, Chan E, Chen J, Cheung F, Xu Z, Liu J, Yip PSF.   +7 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Hierarchical Clustering Schemes

Psychometrika, 1967
Techniques for partitioning objects into optimally homogeneous groups on the basis of empirical measures of similarity among those objects have received increasing attention in several different fields. This paper develops a useful correspondence between any hierarchical system of such clusters, and a particular type of distance measure.
S. C. Johnson
openaire   +3 more sources

An efficient hierarchical clustering protocol for multihop Internet of vehicles communication

Transactions on Emerging Telecommunications Technologies, 2019
Presently, Internet of vehicles (IoV) offers promising solutions to upgrade the traditional vehicular ad‐hoc networks (VANETs) to the next level. Since the resources are highly constrained on available resources, clustering is generally employed in ...
A. Dutta, M. Elhoseny, Vandna Dahiya, K. Shankar   +3 more
semanticscholar   +1 more source

Comprehensive survey on hierarchical clustering algorithms and the recent developments

Artificial Intelligence Review, 2022
Xingcheng Ran, Yue Xi, Yonggang Lu, Xiangwen Wang, Zhenyu Lu   +4 more
semanticscholar   +1 more source

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training

IEEE Transactions on Neural Networks and Learning Systems, 2019
Hierarchical clustering has been extensively applied for data analysis and knowledge discovery. However, the scalability of hierarchical clustering methods is generally limited due to their time complexity of $O(n^{2})$ , where $n$ is the size of the ...
Yiu-ming Cheung, Yiqun Zhang
semanticscholar   +1 more source

Introduction to Hierarchical Clustering

Journal of Clinical Neurophysiology, 2002
Hierarchical clustering of spike events is a method of grouping events that are similar in topology, morphology, or both, and it provides a method of efficient, detailed analysis of interictal events. Information about the relative populations of spikes at multiple foci is presented, and artifact events are grouped and eliminated en masse.
Michael J, Guess, Scott B, Wilson
openaire   +2 more sources

Incremental Clustering for Hierarchical Clustering

2018 5th International Conference on Computational Science/ Intelligence and Applied Informatics (CSII), 2018
This paper proposes a clustering algorithm for updating clusters without reclustering when a point is inserted. We define the center and the radius of the cluster, and update clustering results of points using them. We introduce the concept of outliers and also consider the change in the number of clusters caused by data insertion.
Kakeru Narita, Teruhisa Hochin, Hiroki Nomiya   +2 more
openaire   +1 more source