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High Dimensional data
Posted by:
Lara
Date: November 28, 2020 06:02AM
Hey Sir,
I would like to know about high dimensional data mining.
Domains in which high dimensional data is important.
Some examples of high-dimensional data.
kind regards,
Lara
I would like to know about high dimensional data mining.
Domains in which high dimensional data is important.
Some examples of high-dimensional data.
kind regards,
Lara
Re: High Dimensional data
Posted by:
webmasterphilfv
Date: November 28, 2020 07:42AM
Hi,
High dimensional data just means that you have many dimensions (features/attributes/properties) to decribe your data.
In real-life, we sometimes have the low-dimensional data. For example, you could have data about customers in a store, where each customer only have a few attributes like : name, birthdate, phone number, e-mail
Or you could have data with many dimensions. For example, if you want to analyze text data like a webpage, you could have hundreds of features depending on what you want to do with the text like: language, number of words, number of comma, , average number of words per sentence, etc.
Besides, nowadays, there will be some models that will automatically generate features from your data. For example, some deep learning models may automatically extract hundreds of features from text and images.
So text and image are good examples of high dimensional data. But I think there are many others.
Lara Wrote:
-------------------------------------------------------
> Hey Sir,
> I would like to know about high dimensional data
> mining.
> Domains in which high dimensional data is
> important.
> Some examples of high-dimensional data.
>
> kind regards,
> Lara
High dimensional data just means that you have many dimensions (features/attributes/properties) to decribe your data.
In real-life, we sometimes have the low-dimensional data. For example, you could have data about customers in a store, where each customer only have a few attributes like : name, birthdate, phone number, e-mail
Or you could have data with many dimensions. For example, if you want to analyze text data like a webpage, you could have hundreds of features depending on what you want to do with the text like: language, number of words, number of comma, , average number of words per sentence, etc.
Besides, nowadays, there will be some models that will automatically generate features from your data. For example, some deep learning models may automatically extract hundreds of features from text and images.
So text and image are good examples of high dimensional data. But I think there are many others.
Lara Wrote:
-------------------------------------------------------
> Hey Sir,
> I would like to know about high dimensional data
> mining.
> Domains in which high dimensional data is
> important.
> Some examples of high-dimensional data.
>
> kind regards,
> Lara