Results 321 to 330 of about 3,381,889 (354)

Bayesian hierarchical clustering

Proceedings of the 22nd international conference on Machine learning - ICML '05, 2005
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages over traditional distance-based agglomerative clustering algorithms. (1) It defines a probabilistic model of the data which can be used to compute the predictive distribution of ...
Katherine A. Heller, Zoubin Ghahramani
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Hierarchical Clustering

2000
Technical Report, Manchester Computing, The University of ...
Costen, Fumie, Foster, M, Pettipher, M
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Personalized Hierarchical Clustering

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06), 2006
A hierarchical structure can provide efficient access to information contained in a collection of documents. However, such a structure is not always available, e.g. for a set of documents a user has collected over time in a single folder or the results of a web search.
Korinna Bade, Andreas Nurnberger
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Hierarchical Clustering-Task Scheduling Policy in Cluster-Based Wireless Sensor Networks

IEEE Transactions on Industrial Informatics, 2018
Organizing sensor nodes into a clustered architecture is an effective method for load balancing and prolonging the network lifetime. However, a serious drawback of the clustering approach is the imposed energy overhead caused by the “global” clustering ...
Peyman Neamatollahi, S. Abrishami, Mahmoud Naghibzadeh, M. H. Yaghmaee Moghaddam, Ossama Younis   +4 more
semanticscholar   +1 more source

U-Statistic Hierarchical Clustering

Psychometrika, 1978
A monotone invariant method of hierarchical clustering based on the Mann-Whitney U-statistic is presented. The effectiveness of the complete-link, single-link, and U-statistic methods in recovering tree structures from error perturbed data are evaluated.
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Ultrametric Hierarchical Clustering Algorithms

Psychometrika, 1979
Johnson has shown that the single linkage and the complete linkage hierarchical clustering algorithms induce a metric on the data known as the ultrametric. Through the use of the Lance and Williams recurrence formula, Johnson's proof is extended to four other common clustering algorithms.
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Incorporating K-means, Hierarchical Clustering and PCA in Customer Segmentation

, 2021
A. Abdulhafedh
semanticscholar   +1 more source

Hierarchical Clustering

2022
Elizaveta Zinovyeva, Wolfgang Karl Härdle   +1 more
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Hierarchical triangular clustering

Behavioral Science, 1972
A hierarchical clustering technique is proposed that uses the shape and size of the area bounded by triples of objects in Euclidean space as the criterion for clustering. This criterion is flexible so that by varying its parameters one can group triples of points which are most equilateral or enclose the smallest area, or both.
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Stochastic hierarchical model for cluster-cluster aggregation

Physical Review E, 1999
A stochastic hierarchical model of cluster-cluster aggregation, which is obtained by introducing a sticking probability into the recently proposed hierarchical model by Sornsen and Oh [Phys. Rev. E 58, 7545 (1998)], is presented. The fractal dimension and aspect ratio calculated using the model give good agreement with those obtained in standard ...
openaire   +2 more sources