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The central principle of D3.js design is to enable the programmer to first use a CSS-style selector to select a given set of Document Object Model (DOM) nodes, then use operators to manipulate them in a similar manner to jQuery. [8]
Vega acts as a low-level language suited to explanatory figures (the same use case as D3.js), while Vega-Lite is a higher-level language suited to rapidly exploring data. [3] Vega is used in the back end of several data visualization systems, for example Voyager.
Whereas the original systems were focussed on medical diagnosis the applicability of the approach was generalized by the successor D3 [4]. [5] As the predecessors were implemented in the LISP programming language, d3web [ 6 ] is a full Java re-implementation.
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances between each pair of objects in a set into a configuration of points mapped into an abstract Cartesian space.
Weka – machine-learning algorithms that can be integrated in KNIME; ELKI – data mining framework with many clustering algorithms; Keras - neural network library; Orange - an open-source data visualization, machine learning and data mining toolkit with a similar visual programming front-end; List of free and open-source software packages
Michael Bostock is an American computer scientist and data visualization specialist. He is one of the co-creators of Observable and a key developer of D3.js, [1] a JavaScript library used to produce dynamic, interactive data visualizations for web browsers. [2] He also contributed to the preceding Protovis framework.
Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static
Eclipse Deeplearning4j is a programming library written in Java for the Java virtual machine (JVM). [ 2 ] [ 3 ] It is a framework with wide support for deep learning algorithms. [ 4 ] Deeplearning4j includes implementations of the restricted Boltzmann machine , deep belief net , deep autoencoder, stacked denoising autoencoder and recursive ...