
Neural Network Toolbox
 Referenced in 175 articles
[sw07378]
 dynamic networks. It also supports unsupervised learning with selforganizing maps and competitive layers. With...

Scikit
 Referenced in 365 articles
[sw08058]
 machine learning algorithms for mediumscale supervised and unsupervised problems. This package focuses on bringing...

KEEL
 Referenced in 103 articles
[sw06791]
 various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based...

GloVe
 Referenced in 50 articles
[sw26211]
 Word Representation. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training...

LSSVMlab
 Referenced in 26 articles
[sw07367]
 been introduced within the context of statistical learning theory and structural risk minimization ... Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks and control are available. Robustness...

Statistics Toolbox
 Referenced in 18 articles
[sw10157]
 Statistics Toolbox™ provides statistical and machine learning algorithms and tools for organizing, analyzing, and modeling ... regression. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs...

mdp
 Referenced in 9 articles
[sw14129]
 collection of supervised and unsupervised learning algorithms and other data processing units that...

RFCM
 Referenced in 7 articles
[sw02668]
 rough and fuzzy sets. A hybrid unsupervised learning algorithm, termed as roughfuzzy cmeans...

RolX
 Referenced in 5 articles
[sw32343]
 linear in the number of edges), unsupervised learning approach for automatically extracting structural roles from...

CHIME
 Referenced in 5 articles
[sw28514]
 with EM algorithm and its optimality. Unsupervised learning is an important problem in statistics...

quanteda
 Referenced in 6 articles
[sw30853]
 applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses...

GLISSOM
 Referenced in 6 articles
[sw04192]
 subsequently organized through an unsupervised Hebbian learning process using visual input. Weak connections are eliminated...

subgraph2vec
 Referenced in 3 articles
[sw36496]
 neighbourhoods of nodes to learn their latent representations in an unsupervised fashion. We demonstrate that ... could be used for building a deep learning variant of WeisfeilerLehman graph kernel ... graph kernels on both supervised and unsupervised learning tasks. Specifically, on two realworld program analysis...

FoldingNet
 Referenced in 3 articles
[sw32562]
 been stateoftheart for supervised learning tasks on point clouds such as classification ... autoencoder is proposed to address unsupervised learning challenges on point clouds. On the encoder...

InfoGraph
 Referenced in 2 articles
[sw37754]
 InfoGraph: Unsupervised and Semisupervised GraphLevel Representation Learning via Mutual Information Maximization. This paper ... studies learning the representations of whole graphs in both unsupervised and semisupervised scenarios. Graph ... representatives. Inspired by recent progress of unsupervised representation learning, in this paper we proposed ... maximizes the mutual information between unsupervised graph representations learned by InfoGraph and the representations learned...

PixelVAE
 Referenced in 2 articles
[sw36214]
 modeling is a landmark challenge of unsupervised learning. Variational Autoencoders (VAEs) learn a useful latent...

TimeSeriesClustering
 Referenced in 2 articles
[sw34951]
 TimeSeriesClustering is a Julia implementation of unsupervised learning methods for time series datasets. It provides...

GMCM
 Referenced in 2 articles
[sw24057]
 mixture copula models (GMCM) for general unsupervised learning based on clustering. Li, Brown, Huang...

CLUSTER3
 Referenced in 2 articles
[sw03489]
 Conceptual clustering is a form of unsupervised learning that seeks clusters in data that represent...

SOFAR
 Referenced in 4 articles
[sw31665]
 with broad applications to both unsupervised and supervised learning tasks, such as biclustering with sparse...