Results 321 to 330 of about 2,740,047 (370)

An Approach to Unsupervised Learning Classification

IEEE Transactions on Computers, 1975
In this correspondence, an approach to unsupervised pattern classifiers is discussed. The classifiers discussed here have the ability of obtaining the consistent estimates of unknown statistics of input patterns without knowing the a priori probability of each category's occurrence where the input patterns are of a mixture distribution.
Mizoguchi, R., Shimura, Masamichi
openaire   +2 more sources

Dissecting cancer heterogeneity – An unsupervised classification approach

The International Journal of Biochemistry & Cell Biology, 2013
Gene-expression-based classification studies have changed the way cancer is traditionally perceived. It is becoming increasingly clear that many cancer types are in fact not single diseases but rather consist of multiple molecular distinct subtypes. In this review, we discuss unsupervised classification studies of common malignancies during the recent ...
Wang, Xin, Markowetz, Florian, de Sousa E Melo, Felipe, Medema, Jan Paul, Vermeulen, Louis   +4 more
openaire   +2 more sources

Absolute Classification with Unsupervised Clustering

[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 2005
An absolute classification algorithm is proposed in which the class definition through training samples or otherwise is required only for a particular class of interest. The absolute classification is considered as a problem of unsupervised clustering when one cluster is known initially.
null Byeungwoo Jeon, D.A. Landgrebe
openaire   +1 more source

Unsupervised Sentiment Classification

2016
This chapter describes the design and implementation of the unsupervised sentiment classification procedure. The classification procedure consisted of two core components: a bespoke sentiment analysis system developed by the author and the SenticNet sentiment lexicon. The sentiment lexicon acted as the source of sentiment information, and the sentiment
openaire   +1 more source

Unsupervised text independent speaker classification

Eighteenth Convention of Electrical and Electronics Engineers in Israel, 2002
Speaker recognition and verification has been used in a variety of commercial, forensic and military applications. The classical problem is that of supervised recognition, in which there is sufficient a priori information on the speakers to be identified. In such cases, the recognition system has speaker models, estimated during training sessions. This
A. Cohen, V. Lapidus
openaire   +1 more source

Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification

IEEE Transactions on Geoscience and Remote Sensing, 2019
Feature learning technologies using convolutional neural networks (CNNs) have shown superior performance over traditional hand-crafted feature extraction algorithms.
Shaohui Mei, Jingyu Ji, Yunhao Geng, Zhi Zhang, Xu Li, Q. Du   +5 more
semanticscholar   +1 more source

Unsupervised classification using associative memory

The 2002 45th Midwest Symposium on Circuits and Systems, 2002. MWSCAS-2002., 2003
In this paper, we present unsupervised classification using the Lyapunov Associative Memory (LYAM) system. This associative memory encodes the classification results as its equilibrium states. The system is modeled with only a set of nonlinear ordinary differential equations. An example is given for signal sorting application.
M.R. Sayeh, B. Li
openaire   +1 more source

Unsupervised Classification

2023
Juan J. Cuadrado-Gallego, Yuri Demchenko
openaire   +1 more source

Clustering and Unsupervised Classification

1986
The successful application of maximum likelihood classification is dependent upon having delineated correctly the spectral classes in the image data of interest. This is necessary since each class is to be modelled by a normal probability distribution, as discussed in Chap. 8.
openaire   +1 more source

Unsupervised Rough Set Classification Using GAs

Journal of Intelligent Information Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source