Results 331 to 340 of about 2,740,047 (370)

Clustering and unsupervised classification

2014
Abstract This chapter examines iterative clustering methods including finite mixture modelling based on the EM algorithm. Applications to behavioural segmentation of domestic energy customers, the identification of customer missions in supermarkets, and behaviour-based targeting for mobile network operators are covered.
openaire   +1 more source

Unsupervised Classification with Stochastic Complexity

1994
In unsupervised classification, we are given a collection of samples and must label them to show their class membership, without knowing anything about the underlying data generating machinery, not even the number of classes. That is, we are given some sequence of observed objects 1, 2, … , n, on which we have made a number of measurements X=x1, x2… xn
Jorma Rissanen, Eric Sven Ristad
openaire   +1 more source

Unsupervised Classification

2018
Stacy A. C. Nelson, Siamak Khorram
openaire   +2 more sources

Unsupervised classification by spectral ICA

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., 2003
Unsupervised classification is defined such that the information required to do so must be learned and derived directly and solely from the data alone, this is consistent with the classical definition "unlabelled data" ATR by Duda and Hart. Such a truly unsupervised methodology is presented for space-variant imaging for breast cancer detection by means
openaire   +1 more source

Unsupervised Learning Methods for Molecular Simulation Data

Chemical Reviews, 2021
Aldo Glielmo, Brooke E Husic, Alex Rodriguez   +2 more
exaly  

Mixtures of Dirichlet-Multinomial distributions for supervised and unsupervised classification of short text data

Advances in Data Analysis and Classification, 2020
L. Anderlucci, C. Viroli
semanticscholar   +1 more source

Mineral Identification Using Unsupervised Classification from Hyperspectral Data

, 2020
Priyanka Gupta, M. Venkatesan
semanticscholar   +1 more source

Hyperspectral image unsupervised classification by robust manifold matrix factorization

Information Sciences, 2019
Lefei Zhang, Liangpei Zhang, Bo Du, J. You, D. Tao   +4 more
semanticscholar   +1 more source

Unsupervised Tissue Classification

2009
Pham, D., Bazin, P.
openaire   +3 more sources

A Survey of Unsupervised Generative Models for Exploratory Data Analysis and Representation Learning

ACM Computing Surveys, 2022
Angelo Genovese, Vincenzo Piuri, Fabio Scotti   +2 more
exaly