Kernel Density Plot Tool This is a Python implementation of the Kernel Plot Tool that generates SNP density and closest neighbor plots from FASTA files.

Principal component analysis (PCA) is widely used to extract features and reduce dimensionality in various computer vision and image/video processing tasks. Conventional approaches either lack ...

There was an introduction of Pyrus, which was a Python-based platform for the simulation of Robocup. Researchers from Dalhousie University and Memorial University of Canada published a research paper ...

PCR is derived from Principal Component Analysis (PCA). So, it is PCA applied to a regression algorithm that has multicollinear features. Principal components regression reduces errors in regression ...

Abstract: Principal Component Analysis (PCA) has been successfully applied to many applications, including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal Component ...

Open pre-processes input data, performs the statistical analysis, and displays plots of the processed data. The two available PCA plots are 2D and 3D views. The available HCA plots are the distance ...