Cluster Analysis in R Archives - Datanovia https://www.datanovia.com/en/coursecategory/cluster-analysis-in-r/ Data Mining and Statistics for Decision Support Sun, 30 Dec 2018 11:56:36 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.2 Advanced Clustering https://www.datanovia.com/en/courses/advanced-clustering/ https://www.datanovia.com/en/courses/advanced-clustering/#comments Wed, 24 Oct 2018 23:54:33 +0000 https://www.datanovia.com/en/?post_type=dt_courses&p=8077 This course presents advanced clustering techniques, including: hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and density-based clustering.

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]]> https://www.datanovia.com/en/courses/advanced-clustering/feed/ 10 Cluster Validation Essentials https://www.datanovia.com/en/courses/cluster-validation-essentials/ https://www.datanovia.com/en/courses/cluster-validation-essentials/#comments Sun, 21 Oct 2018 09:15:11 +0000 https://www.datanovia.com/en/?post_type=dt_courses&p=8058 The cluster validation consists of measuring the goodness of clustering results. In this course, you will learn methods for validating cluster analysis

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]]> https://www.datanovia.com/en/courses/cluster-validation-essentials/feed/ 1 Hierarchical Clustering in R: The Essentials https://www.datanovia.com/en/courses/hierarchical-clustering-in-r-the-essentials/ https://www.datanovia.com/en/courses/hierarchical-clustering-in-r-the-essentials/#comments Thu, 18 Oct 2018 20:34:37 +0000 https://www.datanovia.com/en/?post_type=dt_courses&p=7685 Hierarchical clustering is an unsupervised machine learning method used to classify objects into groups based on their similarity. In this course, you will learn the algorithm and practical examples in R. We'll also show how to cut dendrograms into groups and to compare two dendrograms. Finally, you will learn how to zoom a large dendrogram.

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]]> https://www.datanovia.com/en/courses/hierarchical-clustering-in-r-the-essentials/feed/ 6 Partitional Clustering in R: The Essentials https://www.datanovia.com/en/courses/partitional-clustering-in-r-the-essentials/ https://www.datanovia.com/en/courses/partitional-clustering-in-r-the-essentials/#comments Wed, 17 Oct 2018 22:11:39 +0000 https://www.datanovia.com/en/?post_type=dt_courses&p=7673 Partitional clustering are clustering methods used to classify observations, within a data set, into multiple groups based on their similarity. In this course, you will learn the most commonly used partitioning clustering approaches, including K-means, PAM and CLARA. For each of these methods, we provide: 1) the basic idea and the key mathematical concepts; 2) the clustering algorithm and implementation in R software; and 3) R lab sections with many examples for cluster analysis and visualization

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]]> https://www.datanovia.com/en/courses/partitional-clustering-in-r-the-essentials/feed/ 4 Data Clustering Basics https://www.datanovia.com/en/courses/data-clustering-basics/ https://www.datanovia.com/en/courses/data-clustering-basics/#comments Sun, 14 Oct 2018 14:39:23 +0000 https://www.datanovia.com/en/?post_type=dt_courses&p=7641 Data clustering consists of data mining methods for identifying groups of similar objects in a multivariate data sets collected from fields such as marketing, bio-medical and geo-spatial. This course presents the basics to know for clustering analysis in R

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