Comments (2)
Hi, sorry for the late reply. Yes, each trajectory represents the encoder states for one sample. Basically, you stack all samples that you want to visualize and run PCA. The code should be straightforward and just take a few lines. If you have further questions, feel free to ask.
from predict-cluster.
from predict-cluster.
Related Issues (20)
- Clarification re. Fixed Weight (FW) implementation HOT 3
- eval of each person for ntu dataset HOT 3
- About UWA3DII dataset HOT 2
- UWA dataset HOT 2
- pytorch implementation HOT 8
- Pretrained model on NTU-CS HOT 1
- Rotation Matrix R HOT 2
- error with get_feature() when run the train.py HOT 2
- some question on KNN HOT 2
- what's the shape of data at every HOT 2
- Train on 2D skeleton dataset HOT 4
- UWA3D handling HOT 1
- Action to predict HOT 5
- UCLA Data HOT 2
- About problem in running ucla_demo HOT 1
- Your method cannot be called unsupervised!
- Is something wrong in pytorch implementation HOT 4
- Dimension of the hidden layer HOT 4
- About NTU datasets HOT 34
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 predict-cluster.