Classification

Re-occurs among biii.info tags (visualisation, rendering, viewer, classification, ...)|ToDo: Clear up relation between Classification, Clustering, and Prediction and recognition (also in main EDAM)

Description

We propose to use a kernel density estimation (KDE) based approach for classification. This non-parametric approach intrinsically provides the likelihood of membership for each class in a principled manner. The implementation was used in Ghani2016. Any papers using this code should cite Ghani2016 accordingly. The software has been tested under Matlab R2013b.

 

Sample Data: Annotated two-photon images of dendritic spines

Description

CellProfiler FlagImage module allows to assign a flag if an image meets certain measurement criteria that you specify (for example, if the image fails a quality control measurement). The value of the flag is 1 if the image meets the selected criteria (for example, if it fails QC), and 0 if it does not meet the criteria (if it passes QC).

has function