Mixed types of data for clustering
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I have the following types of data for clustering - Numeric, Categorical and Latitude Longitude data for a location in one dataframe in python. I would like to know how can I go about doing clustering when the data is mixed to this degree.
Can I DBSCAN or hierarchical clustering and what do I need to do to convert categorical data to numeric. Same with geo location data.
clustering
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$begingroup$
I have the following types of data for clustering - Numeric, Categorical and Latitude Longitude data for a location in one dataframe in python. I would like to know how can I go about doing clustering when the data is mixed to this degree.
Can I DBSCAN or hierarchical clustering and what do I need to do to convert categorical data to numeric. Same with geo location data.
clustering
New contributor
$endgroup$
add a comment |
$begingroup$
I have the following types of data for clustering - Numeric, Categorical and Latitude Longitude data for a location in one dataframe in python. I would like to know how can I go about doing clustering when the data is mixed to this degree.
Can I DBSCAN or hierarchical clustering and what do I need to do to convert categorical data to numeric. Same with geo location data.
clustering
New contributor
$endgroup$
I have the following types of data for clustering - Numeric, Categorical and Latitude Longitude data for a location in one dataframe in python. I would like to know how can I go about doing clustering when the data is mixed to this degree.
Can I DBSCAN or hierarchical clustering and what do I need to do to convert categorical data to numeric. Same with geo location data.
clustering
clustering
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New contributor
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asked 3 mins ago
Aditya LodhaAditya Lodha
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Aditya Lodha is a new contributor. Be nice, and check out our Code of Conduct.
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