Comments (1)
Hi,
Thank you for your question.
Yes, it can happen that some of the users do not contain the prominent features in a given cluster. This is because these users are drawn in because they are similar to existing members of the cluster on some other features.
To illustrate how this may happen, let's suppose the scenario below: maybe a cluster's prominent feature is spamming, but some of the spamming accounts may have other features in common (e.g. registration pattern). When a new account exhibits the same registration pattern but hasn't started spamming yet. It can still have drawn into the spamming cluster because of the similar registration patterns.
Please keep in mind that the prominent features are just the top-ranked features for each cluster and not the full set of features. We use the L-method to make sure that these features are significantly stronger than the rest of the features, but this by no means indicates that the other features have no effect on the cluster formation.
Hope this answers your questions.
from recursivehierarchicalclustering.
Related Issues (17)
- Input variables HOT 1
- Using multiple servers HOT 2
- Sharing the visualization HOT 1
- cluster with users, but no action pattern(s)
- setting threadNum and minPerSlice HOT 1
- Utilizing multiple servers HOT 2
- Cluster quality results?
- vis.json not generating
- Failed to reproduce the results with sample data 'input.txt' provided
- How can I change from analyzing the frequency of a pattern to analyzing it like on paper?
- Time gap events HOT 6
- Inconsistency HOT 2
- Unable to run on sample data provided HOT 2
- Python version update HOT 4
- local host in windows system HOT 2
- Just to verify my test result HOT 14
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from recursivehierarchicalclustering.