Time-Series Analysis with R | 3. Clustering

[@riteshtripathi8626]

I wonder what group of people even exist who have disliked this informative video..
Thank you sir for making my coding more better :)

[@bkrai]

Thanks for liking!

[@meshackamimo1945]

thank you Sir. I salute your excellent Gift of communicating tough subjects in a simple way.
No R tutorial from you passes me...God bless you,Prof.

[@bkrai]

Thanks for your comments!

[@nayo7888]

Thank you so much for this. Just looking at time series clustering for a Master’s project and this video has helped a lot.

[@bkrai]

You are welcome!

[@GodOfVictory501]

Thank you Dr. Rai. I'm doing time-series clustering for my masters thesis and you have clarified some concepts for me.

[@bkrai]

Thanks for comments!

[@khazaddim]

Excellent communication. This is really going to help me with R.

[@bkrai]

Thanks for comments!

[@flamboyantperson5936]

very very amazing tutorial on Time Series. Loving the series.

[@bkrai]

Thanks for comments!

[@al38261]

Thank you Dr. Rai!

[@bkrai]

Most welcome!

[@perevales]

Thanks, very didactic video. Loving the series.

[@bkrai]

Thanks for comments!

[@GZubatch]

thank you very much, you are a great professor!

[@bkrai]

Thank you! 😃

[@a.v.a.bharatkumar5417]

the size of the time series data shown in this example are equal (i.e. each example has 60 values)..... but how to handle the examples having different sizes (for instance, example 1 has 60 values; example 2 has 77 values; example 3 has 41 values and so on...) ?

[@bkrai]

It should not matter.

[@frosty2164]

Thank you sir... very informative

[@bkrai]

Thanks for comments!

[@SLouadah]

Thank you so much for your amazing work Dr. Bharatendra.
However, I would wonder if it is possible to do a kind of "worst case" scenario in a TS analysis, where the data is of very bad quality, and exhibits features that make it hard to work with. I got thins kind of data, if you wish, I could share with you part of it.

[@SLouadah]

It would be great for instance to do an analysis that would allow us to build a demand function in economics from sales data

[@bkrai]

If the low quality is due to missing data, you may try this:
ruclips.net/video/An7nPLJ0fsg/видео.html

[@pritharoy1317]

Hi sir,
Can we perform this clustering analysis to perform cluster analysis in Air quality dataset? What components will be used there for the clustering?

[@bkrai]

No harm in trying.

[@akashprabhakar6353]

Thank you so much sir...Really helpful...Just one thing could u pls be more elaborative while introducing newer concepts pls...otherwise ur videos are awesome

[@bkrai]

Thanks for the feedback!

[@chaitanyakmr]

Thank you very much.

[@bkrai]

Welcome!

[@jonimatix]

Thanks for the video! Whats the benefit of doing clustering on a time series? How can it be used in real life?

[@bkrai]

You may refer to this paper:
www.sciencedirect.com/science/article/abs/pii/S0306437915000733

[@sukihao6415]

sorry, is there any paper to clarify the advantages of using DTW as the distance method over other methods?

[@vaibhavgaikwad1938]

Thanks Sir. Is there a way to get the trend value "increasing" or "decreasing" from time series data?

[@manasarath]

Very good tutorial! Has anyone tried to create plots of year vs nominal/ordinal data?

[@bkrai]

Nominal data usually gets converted to count. For example, nominal data about whether or not someone is infected by covid, gets converted to number of cases.

[@dr.sunitaarora4242]

Please share the link of dataset

[@bkrai]

You can get it from code file available in the description area.

[@dimplekashyap1]

Awesome

[@bkrai]

Thanks!