This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

plot_correlation_matrix (rdf) Generates a correlation heatmap (using Seaborn) for all numeric columns. It’s handy for spotting which variables move in tandem. plot_bar_distribution (rdf, feat_col, ...

A scatter plot matrix - which helps users identify correlation between different variables. Our system is very user-interactive. The users could click on the Google map to see the air pollution data ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.

We consider a complex-valued L × L exponential correlation matrix. Such a matrix has unit diagonal elements; each lower off-diagonal element is the correlation coefficient raised to the power of the ...

Although 2-D canonical correlation analysis (2DCCA) has been proposed to reduce the computational complexity while reserving local data structure of image, the learned canonical variables of 2DCCA are ...

In each scatter plot within the matrix’s lower left half, dots represent individual data points across all time periods and both treatment groups. In the upper right half of the matrix, dot sizes ...