Projeto Curricular Articulador - UnigranRio 2018.2
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Updated
Mar 5, 2023 - C++
Projeto Curricular Articulador - UnigranRio 2018.2
Dimensionality reduction is the process of reducing the number of features or dimensions in a dataset. This can be useful for reducing the complexity of a dataset and making it easier to work with.
A tool for visualising predicted leaf shapes from LeafAnalyser eigensystems.
Digit Recognizer using C++ implementation of PCA and KNN & PyBind
Visualize various feature value distribution
Randomized Linear Algebra for blaze-lib
EDAMER: Exascale Data Analysis Methods with Enhanced Reusability
CSC3022H: Machine Learning Lab 3: Principal Component Analysis (PCA)
Generic C++17 library for distributed scientific computing (HPC)
Neural Principal Component Analysis
A graphical software for interactive rotational factor analysis and visualization of two-way data, mainly intended for vibrational spectra.
Principal component analysis for 2D points
Encoder using magnetometer on Arduino nano 33 BLE
An ITK-based implementation of principal components analysis. A more detailed description can be found in the Insight Journal article: Bowers M., Younes L. ''Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data.'' August, 2013.
C++ problem solving
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