Linked Questions

1
vote
4answers
11k views

Categorical data in Kmeans [duplicate]

I need to perform clustering in a given dataset. There are atrributes with numerical as well as categorical values. What is the best way to convert categorical to numeric value ? as an example one ...
-2
votes
1answer
125 views

Apply a clustering algorithm on categorical data with features of multiple values [duplicate]

Let us I have a people data like gender, age, marital status, education, employment, hobbies. I want to make clusters of those people, having some similarity/common among them (for example they have ...
0
votes
1answer
66 views

What is the best way to encode features when clustering data? [duplicate]

I have a dataset with numerical and categorical features. I am trying to run a k-means algorithm to find clusters of data. What is the best way to encode categorical features? I have been doing one ...
1
vote
1answer
35 views

Clustering for Categorical Data? [duplicate]

How exactly does k-means clustering for categorical data work? I have a dataset which has several categorical features that can have 2,3,4,..,n values. I could one hot encode them, but I'm not sure if ...
1
vote
1answer
24 views

Unsupervised Algorithm for hybrid data [duplicate]

I have a hybrid data that contains 15 categorical data and 4 continuous data. I need to implement a prediction on the data. So as I don't have any labeled data, I need to implement the unsupervised ...
10
votes
4answers
22k views

Clustering for mixed numeric and nominal discrete data

My data includes survey responses that are binary (numeric) and nominal / categorical. All responses are discrete and at individual level. Data is of shape (n=7219, p=105). Couple things: I am ...
6
votes
3answers
549 views

How to give a higher importance to certain features in a (k-means) clustering model?

I am clustering data with numeric and categorical variables. To process the categorical variables for the cluster model, I create dummy variables. However, I feel like this results in a higher ...
1
vote
4answers
9k views

Clustering categorical data [duplicate]

I have a dataset with categorical features. I want to segment the data using clustering techniques. What could be the possible choices for this scenariogiven the fact that data has categorical ...
4
votes
5answers
4k views

Best approach for this unsupervised clustering problem with categorical data?

I'm a software engineer new to Machine Learning. I've read about basic non-supervised techniques like k-means and hierarchical clustering and now I'm trying to put them into practice with a basic ...
7
votes
2answers
945 views

Identifying “clusters” or “groups” in a matrix

I have a matrix that is populated with discrete elements, and I need to cluster them (using R) into intact groups. So, for example, take this matrix: ...
1
vote
1answer
2k views

K-Means clustering for mixed numeric and categorical data implementation in C#

I am a research scholar in data mining. I'm interested in C# implementation of K-Means clustering algorithm for mixed numeric and categorical data.
2
votes
2answers
306 views

Kmeans on mixed dataset with high level for categ

My retail dataset contains 3 numeric attributes and two categorical attributes Time and ID with 50,000 records. Both categorical attributes have more than 20 thousand levels and their format is 1/11/...
0
votes
1answer
695 views

Quick start using python and sklearn kmeans?

I started tinkering with sklearn kmeans last night out of curiosity with the goal of clustering users into groups to see what kind of user groups I can derive. I am lost when it comes to plotting the ...
2
votes
0answers
640 views

Mixed geospatial and categorical clustering

I'm working on a project that seeks to identify clusters in urban development based on location (in lat/lon) and a categorical variable (what the particular site is zoned for). Ideally, the analysis ...
-1
votes
1answer
443 views

Probability of what product will be purchased in repeat orders

I have a problem I need to solve and am looking for assistance in what algorithm to use. I have a online store that I have say 10 products and I have all the order history for every order. What I am ...

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