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Great Reads

by Darko Jurić
SIR Particle Filter brief tutorial with samples in C#
by Andy Allinger
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
by Ata Amini
Implement Gauss-Newton algorithm in Java to solve non-linear least squares problems; i.e. to find minimum of a function.
by Miguel Diaz Kusztrich
Using R to explore the complexity of time series generated by a simple process

Latest Articles

by Andy Allinger
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
by DrABELL
Statistical Outliers detection in Microsoft Excel worksheet using Median() and array formula
by Andy Allinger
Introduces data clustering and the k-means++ algorithm
by Ata Amini
Implement Gauss-Newton algorithm in Java to solve non-linear least squares problems; i.e. to find minimum of a function.

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27 Apr 2015
Darko Jurić
SIR Particle Filter brief tutorial with samples in C#
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24 Dec 2020
Andy Allinger
Adds features to k-means for missing data, mixed data, and choosing the number of clusters
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13 Mar 2017
Ata Amini
Implement Gauss-Newton algorithm in Java to solve non-linear least squares problems; i.e. to find minimum of a function.
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22 Nov 2016
Miguel Diaz Kusztrich
Using R to explore the complexity of time series generated by a simple process
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8 Dec 2016
rerhart585
Using SQLite, leverage the create_aggregate(), and SQL's Between Operator to create a Normal Probability Distribution Histogram, or what is more commonly referred to as a Bell Curve.
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14 Jun 2017
Andy Allinger
Introduces data clustering and the k-means++ algorithm
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15 Jan 2015
Darko Jurić
Discrete Kalman Filter brief tutorial with samples in C#
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30 Oct 2016
Miguel Diaz Kusztrich
Complete algorithm for correspondence analysis to add to your own statistical class clibrary