JGotlib
J. Gotlib
Recently Published
Analysis of the 2016 U.S. election results using clustering
The aim of this paper is to present different clustering algorithms. To do so data describing 2016 U. S. election are used.
Presentation of dimensionality reduction techniques as the preparation for DBSCAN clustering
This article contains a simple presentation of two dimensionality reduction methods, i.e. MDS and PCA. A dataset they were applied to was then clustered with DBSCAN.
Association rules for market segmentation
This article presents a simple application of association rules analysis to identify patterns existing in the example marketing dataset.