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Category: Spark

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Non-Linear Classification Methods in Spark

In a previous post I covered how to apply classical linear estimators like support vector machines or logistic regression to a non-linear dataset using the kernel method. This article can …

Basics / Coding / Python / Spark

Non-Linear Support Vector Machines (SVM)

1. Introduction This blog post is about Support Vector Machines (SVM), but not only about SVMs. SVMs belong to the class of classification algorithms and are used to separate one …

Coding / Functional Data Analysis with Spark / Projects / Python / Spark

Kernel Regression using Pyspark

1. Kernel Regression using Pyspark In a previous article I presented an implementation of a kernel denisty estimation using pyspark. It is thus not difficult to modify the algorithm to …

Coding / Functional Data Analysis with Spark / Python / Spark

Nonparametric Density estimation using Spark

1. A Nonparametric Density implementation in Spark One of my previous blog post concerns about nonparametric density estimation. In this post i presented some Matlab code. An advantage of this …

Coding / Functional Data Analysis with Spark / Python / Spark

Functional Regression with Spark

1. Functional Regression Let the covariate be an at least twice continuously differentiable random function defined wlog. on an interval and the corresponding the response. For simplicity we assume centered …

Coding / Functional Data Analysis with Spark / Python / Spark

Functional Principal Component Analysis with Spark

1.) Functional Principal Component Analysis Let be a centered smooth random function in , with finite second moment . Without loss of generality we assume instead of some arbitrary compact …

Recent Posts

  • Kernel Regression using the Fast Fourier Transform
  • Cluster Monitoring using a ST7789 Display
  • Fast Kernel Density Estimation using the Fast Fourier Transform
  • Non-Linear Classification Methods in Spark
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