Top "Pca" questions

PCA Analysis in PySpark

Looking at http://spark.apache.org/docs/latest/mllib-dimensionality-reduction.html. The examples seem to only contain Java and Scala. Does …

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PCA Scaling with ggbiplot

I'm trying to plot a principal component analysis using prcomp and ggbiplot. I'm getting data values outside of the unit …

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Difference between PCA (Principal Component Analysis) and Feature Selection

What is the difference between Principal Component Analysis (PCA) and Feature Selection in Machine Learning? Is PCA a means of …

machine-learning pca feature-selection

How to export an interactive rgl 3D Plot to share or publish?

I have made an interactive 3D plot in R using the rgl package. I would like to be able to …

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Using mca package in Python

I am trying to use the mca package to do multiple correspondence analysis in Python. I am a bit confused …

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Principal component analysis (PCA) of time series data: spatial and temporal pattern

Suppose I have yearly precipitation data for 100 stations from 1951 to 1980. In some papers, I find people apply PCA to the …

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PCA with missing values in Python

I'm trying to do a PCA analysis on a masked array. From what I can tell, matplotlib.mlab.PCA doesn't …

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How to convert spark DataFrame to RDD mllib LabeledPoints?

I tried to apply PCA to my data and then apply RandomForest to the transformed data. However, PCA.transform(data) …

scala apache-spark rdd pca apache-spark-mllib

Pyspark and PCA: How can I extract the eigenvectors of this PCA? How can I calculate how much variance they are explaining?

I am reducing the dimensionality of a Spark DataFrame with PCA model with pyspark (using the spark ml library) as …

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is it possible Apply PCA on any Text Classification?

I'm trying a classification with python. I'm using Naive Bayes MultinomialNB classifier for the web pages (Retrieving data form web …

python scikit-learn pca naivebayes