Results 21 to 30 of about 797,470 (304)

Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package

Journal of Statistical Software, 2021
The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD).
Cristina Tortora, Ryan P. Browne, Aisha ElSherbiny, Brian C. Franczak, Paul D. McNicholas   +4 more
doaj   +1 more source

Markov model-based clustering for efficient patient care [PDF]

, 2005
Phase-type distributions were used to carry out model-based clustering of patients using the time spent by the patients in hospital, with maximum likelihood estimation of the model parameters. These parameters were allowed to vary with covariates so that
Millard, P.H., M. Faddy, P. Millard, McClean, S.I., Faddy, M., S. McClean   +5 more
core   +1 more source

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., David Camacho, Héctor D. Menéndez, Otero, Fernando E.B., Camacho, David, Menendez, Hector, Menéndez, Héctor D., Fernando E. B. Otero   +7 more
core   +1 more source

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, Yu, Wei, Wei Song, Zhang, Chengzhi, Li, Chenghua, Chenghua Li, Song, Wei, Chengzhi Zhang   +7 more
core   +1 more source

Speaker segmentation and clustering [PDF]

, 2008
07.08.13 KB. Ok to add the accepted version to Spiral, Elsevier says ok whlile mandate not enforced.This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding
Kotti, Margarita, Moschou, Vassiliki, Kotropoulos, Constantine, Margarita Kotti, Vassiliki Moschou, Constantine Kotropoulos   +5 more
core   +1 more source

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., David Camacho, Héctor D. Menéndez, Otero, Fernando E.B., Camacho, David, Menendez, Hector, Menéndez, Héctor D., Fernando E. B. Otero   +7 more
core   +1 more source

A hybrid clustering method based on the several diverse basic clustering and meta-clustering aggregation technique [PDF]

, 2022
In hybrid clustering, several basic clustering is first generated and then for the clustering aggregation, a function is used in order to create a final clustering that is similar to all the basic clustering as much as possible.
Saeidlou, Salman, Lu, Bei, Zhou, Bing
core   +1 more source

hergm: Hierarchical Exponential-Family Random Graph Models

Journal of Statistical Software, 2018
We describe the R package hergm that implements hierarchical exponential-family random graph models with local dependence. Hierarchical exponential-family random graph models with local dependence tend to be superior to conventional exponential-family ...
Michael Schweinberger, Pamela Luna
doaj   +1 more source

R/BHC : fast Bayesian hierarchical clustering for microarray data [PDF]

, 2009
Background: Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained ...
Grant, Murray, Katherine J Denby, Savage, R, Savage, Richard S., Xu, Yang, Denby Katherine J, Denby, Katherine J., David L Wild, Ghahramani, Z, Grant Murray, Richard S Savage, Truman, W, Truman, William M., Grant, M, Wild, David L., Murray Grant, Denby, K, Savage Richard S, William M Truman, Xu, Y, Ghahramani Zoubin, Truman William M, Heller Katherine, Katherine Heller, ,, Wild David L, Heller, KA, Heller, K. (Katherine), Yang Xu, Wild, DL, Ghahramani, Zoubin, Zoubin Ghahramani, Xu Yang   +32 more
core   +1 more source

An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model

Entropy, 2019
This paper presents an integrated approach for the estimation of the parameters of a mixture model in the context of data clustering. The method is designed to estimate the unknown number of clusters from observed data.
Erlandson Ferreira Saraiva, Adriano Kamimura Suzuki, Luis Aparecido Milan, Carlos Alberto de Bragança Pereira   +3 more
doaj   +1 more source