• Neural Network Toolbox

  • Referenced in 175 articles [sw07378]
  • dynamic networks. It also supports unsupervised learning with self-organizing maps and competitive layers. With...
  • Scikit

  • Referenced in 323 articles [sw08058]
  • machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing...
  • KEEL

  • Referenced in 100 articles [sw06791]
  • various kinds including as regression, classification, unsupervised learning, etc. It includes evolutionary learning algorithms based...
  • GloVe

  • Referenced in 41 articles [sw26211]
  • Word Representation. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training...
  • LS-SVMlab

  • Referenced in 25 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 6 articles [sw02668]
  • rough and fuzzy sets. A hybrid unsupervised learning algorithm, termed as rough-fuzzy c-means...
  • RolX

  • Referenced in 4 articles [sw32343]
  • linear in the number of edges), unsupervised learning approach for automatically extracting structural roles from...
  • CHIME

  • Referenced in 4 articles [sw28514]
  • with EM algorithm and its optimality. Unsupervised learning is an important problem in statistics...
  • GLISSOM

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

  • Referenced in 4 articles [sw30853]
  • applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses...
  • 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...
  • PPF-FoldNet

  • Referenced in 1 article [sw32560]
  • FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors. We present PPF-FoldNet for unsupervised...
  • Spider

  • Referenced in 8 articles [sw10713]
  • spider - machine learning toolbox for Matlab. It’s a library of objects in Matlab ... handle (reasonably) large unsupervised, supervised or semi-supervised machine learning problems. Aims to become...
  • 3DMatch

  • Referenced in 3 articles [sw32561]
  • present 3DMatch, a data-driven model that learns a local volumetric patch descriptor for establishing ... model, we propose an unsupervised feature learning method that leverages the millions of correspondence labels...
  • auDeep

  • Referenced in 1 article [sw27628]
  • auDeep: unsupervised learning of representations from audio with deep recurrent neural networks. auDeep ... Python toolkit for deep unsupervised representation learning from acoustic data. It is based...