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How can I quantity feature importance while performing unsupervised clustering with mixed data types?

I wanted to cluster data points into 2 clusters, I am using clustmix package from R I wanted to understand importance of each of the feature, I have 203 features. I have tried featureimp package from ...
ashish pople's user avatar
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2 answers
139 views

Hard time finding literature on feature clustering using Principal Component Analysis

Im new to StackExchange, so i am sorry if this is not the right way to ask a question on StackExhange. For my thesis I wish to propose a methode for future research on using PCA to cluster features (...
aryan's user avatar
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1 vote
1 answer
32 views

Finding attributes that make up dense clusters of fraudulent transactions

I have data about purchases customers made in my website. Some users later decline the purchase, a scenario I'd like to avoid. I have lots of data about the purchases made in my website, so I'd like ...
what-a-snarky-puppy's user avatar
0 votes
1 answer
77 views

Creating better features for clustering

I am trying clustering for the first time trying to separate my user into three categories (or the categories I though that they will should fall in). First of all I have two tables that describe ...
Alex P's user avatar
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1 vote
1 answer
694 views

Should unique vectors (SIFT descriptors) be used in K-Means Clustering?

I'm doing image classification by extracting SIFT features, clustering them and then finding BOVW histogram and classifying. I have around 180 training images from which I'm extracting SIFT ...
Nagabhushan S N's user avatar