principal-component-analysis topic
Handwritten-Names-Recognition
The goal of this project is to solve the task of name transcription from handwriting images implementing a NN approach.
rSVD
Randomized Matrix Decompositions using R
Machine-Learning-and-Pattern-Recognition
Implementation of Machine Learning Algorithms
Machine_Learning_A-Z_All_Codes_and_Templates
All codes, both created and optimized for best results from the SuperDataScience Course
info-retrieval
Information Retrieval in High Dimensional Data (class deliverables)
Microscope
ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps
jlearn
Machine Learning Library, written in J
Breast-cancer-diagnosis-using-Machine-Learning
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Mac...
PCAworkshop
An introduction to matrix factorization and PCA and SVD.
Individualized_HRTF_Synthesis
Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry