Classifying and Clustering Data with R [Video]

Classifying and Clustering Data with R [Video]

Dr. Bharatendra Rai

An all inclusive guide to get well versed with Classifying and Clustering Data with R
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Video Description

This video course provides the steps you need to carry out classification and clustering with R/RStudio software. You’ll understand hierarchical clustering, non-hierarchical clustering, density-based clustering, and clustering of tweets. It also provides steps to carry out classification using discriminant analysis and decision tree methods.

In addition, we cover time-series decomposition, forecasting, clustering, and classification. It includes several example sets of data that you can use for the methodologies covered. The approaches are illustrated using practical applications to data belonging to various fields.

By the end the course, you will be well-versed with clustering and classification using Cluster Analysis, Discriminant Analysis, Time-series Analysis, and decision trees.

Style and Approach

In depth content balanced with tutorials that put theory into practice. The Video course is a Practical tutorials to help you get beyond the basics of data analysis with R, using real-world data sets and examples.

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What You Will Learn

  • Know how to use hierarchical cluster analysis
  • Carry out cluster analysis using visualization methods such as Dendrogram and Silhouette plots
  • Find out how to perform non-hierarchical k-means clustering
  • See how to perform density-based clustering and clustering of tweets
  • Apply discriminant analysis for classification problems
  • Understand time-series decomposition, forecasting, clustering, and classification
  • Develop decision tree model for classification and prediction

Authors

Video Details

ISBN 139781788294904
Course Length2 hours 29 minutes
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