Insights

What is LSEG-PermID?   LSEG is providing several services aiming at providing Permanent Identifiers (PermIDs) for tagging financial related information related to any product or

Saving the group (class) vector table for future use In the present example, the data tables is located in directory: C:Projets_En_CoursAI_MTPL__BasingHall25-May-2021Results write.csv(grp,”C:/Projets_En_Cours/AI_MTPL/__BasingHall/25-May-2021/Results/grp.csv”, sep=”,”) NOTE ->

Purpose The problem is here to test if in a VC firm, the data-driven process of startup dossier discovery and selection is unbiased and compliant

Determine the k=5 clusters PCA factor space 2-3 Note: We are reusing the df table which was built before from the extracted PCA 2-3 factor

We follow: K-Means Clustering in R: Algorithm and Practical Examples (https://www.datanovia.com/en/lessons/k-means-clustering-in-r-algorith-and-practical-examples/) Estimating the optimal number of clusters in a PCA sub-space 2-3 Constructing the data

Performing a Principal Component Analysis (PCA) Removing Categories (columns) with too little population In order to perform PCA we remove the low weight Categories: A1(column

Specifying your Windows R project directory (Replace by the location of your own project directory) projdir = “C:/RExercise/”setwd(projdir) Loading data into R The data table