Kmeans clustering with multiple columns containing strings2019 Community Moderator ElectionScikit Learn: KMeans Clustering 3D data over a time period (dimentionality reduction?)Combining K-means clustering with Agglomerative clusteringKMeans clustering to help label Multi-class Supervised modelConfused about how to apply KMeans on my a dataset with features extractedImplementation of kmeans clustering using RClustering for multiple variableClustering with multiple distance measureshow to convert multiple columns into single columns in pandas?Accuracy for Kmeans clusteringHow can I perform clustering on a list of words and ratings as columns?
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Kmeans clustering with multiple columns containing strings
2019 Community Moderator ElectionScikit Learn: KMeans Clustering 3D data over a time period (dimentionality reduction?)Combining K-means clustering with Agglomerative clusteringKMeans clustering to help label Multi-class Supervised modelConfused about how to apply KMeans on my a dataset with features extractedImplementation of kmeans clustering using RClustering for multiple variableClustering with multiple distance measureshow to convert multiple columns into single columns in pandas?Accuracy for Kmeans clusteringHow can I perform clustering on a list of words and ratings as columns?
$begingroup$
I have the following dataset:
https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
What I want to find is clusters based on imdb score per genre per country. I have created a pandas data frame that contains per country for every unique genre the average imdb rating.
The dataframe looks like this:
country object
genre object
avgRating float64
dtype: object
Since the columns country and genre contain strings, I can't use Kmeans for this.
Is there anyway I can achieve what I want?
Ps: This is the first question I have asked. Tips on how I can improve my question are appreciated.
python k-means unsupervised-learning
asked 1 hour ago
DonCappieDonCappie
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have the following dataset:
https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
What I want to find is clusters based on imdb score per genre per country. I have created a pandas data frame that contains per country for every unique genre the average imdb rating.
The dataframe looks like this:
country object
genre object
avgRating float64
dtype: object
Since the columns country and genre contain strings, I can't use Kmeans for this.
Is there anyway I can achieve what I want?
Ps: This is the first question I have asked. Tips on how I can improve my question are appreciated.
python k-means unsupervised-learning
asked 1 hour ago
DonCappieDonCappie
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have the following dataset:
https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
What I want to find is clusters based on imdb score per genre per country. I have created a pandas data frame that contains per country for every unique genre the average imdb rating.
The dataframe looks like this:
country object
genre object
avgRating float64
dtype: object
Since the columns country and genre contain strings, I can't use Kmeans for this.
Is there anyway I can achieve what I want?
Ps: This is the first question I have asked. Tips on how I can improve my question are appreciated.
python k-means unsupervised-learning
asked 1 hour ago
DonCappieDonCappie
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have the following dataset:
https://www.kaggle.com/carolzhangdc/imdb-5000-movie-dataset
What I want to find is clusters based on imdb score per genre per country. I have created a pandas data frame that contains per country for every unique genre the average imdb rating.
The dataframe looks like this:
country object
genre object
avgRating float64
dtype: object
Since the columns country and genre contain strings, I can't use Kmeans for this.
Is there anyway I can achieve what I want?
Ps: This is the first question I have asked. Tips on how I can improve my question are appreciated.
python k-means unsupervised-learning
python k-means unsupervised-learning
asked 1 hour ago
DonCappieDonCappie
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
DonCappieDonCappie
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
DonCappieDonCappie
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
DonCappieDonCappie
12
asked 1 hour ago
DonCappieDonCappie
12
12
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
DonCappie is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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