In real estate, spatial data is the name of the game. Countless programs
in other domains utilize the power of this data, which is becoming more
prevalent by the day…
This post shows how to perform PCA with R and the package FactoMineR
If you want to learn more on methods such as PCA, you can enroll in this MOOC (everyting is free): MOOC on Exploratory Multivariate Data Analysis
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Principal component analysis (PCA) is routinely employed on a wide range of problems. From the detection of outliers to predictive modeling, PCA has the ability of projecting the observations described by
variables into few orthogonal components defined at where the data ‘stretch’ the most, rendering a simplified overview.
Cluster analysis is a form of unsupervised learning, which aims to group observations into clusters.
This ia a true classe on K-mean cluster Just Keep reading