Linked Questions
24 questions linked to/from K-Means clustering for mixed numeric and categorical data
1
vote
4answers
12k 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
219 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
139 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
58 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
29 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 ...
11
votes
4answers
24k 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
751 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
13k 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
5k 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
1k 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
319 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
753 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
652 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 ...
2
votes
2answers
112 views
Should normalization be applied?
I have more then 100 columns with the values of 1-0. But the two features at the end as seen in the below image, have different values then the rest. Should I rescale the values in the last two ...