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## ❓ Questions and Help
### My question
Hello, due to my downstream task requirements, I need to perform k-means clustering on the output of Contentvec model, that has the same structure as the HuBE…
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Here are some thoughts on how to do anonymized k-means clustering.
As a little background, the data returned by a K-means algorithm includes three categories:
1. Some stats about the resu…
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### Description
Implement the k-means clustering algorithm.
### Details
Technical Specifications: Tensorflow/PyToch/Caffe
- Type of issue: Multiple (Implementations in different frameworks w…
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### Is your feature request related to a problem? Please describe.
Big five personality test (OCEAN)
Link to data set:
[Personality dataset](https://www.kaggle.com/datasets/tunguz/big-five-personal…
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3.1.1: Try to improve the performance of two persons training data ( disjunct ). Perform K- means clustering of each cipher individually for the training set, in order to represent the training data a…
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### Describe the workflow you want to enable
We need to use the spherical k-means algorithm to cluster text embeddings on a hypersphere. Currently there seem to be no reliable implementations availab…
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Simple k-means clustering:
![image](https://user-images.githubusercontent.com/113331717/216756433-bf5683df-6d9e-4e9c-af10-b93ef72a331b.png).
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# Introduction
K-means Clustering이란 무엇일까? 간단히 말하면 k개의 cluster를 구성하는 기준을 mean으로 해서 clustering을 한다는 뜻이다. 머신러닝의 비지도 학습 중의 하나이며, 이를 통해서 우리는 임의의 데이터 세트를 주어진 feature에 맞는 특성을 컴퓨터가 알아서 k개의 군집으로 분류할 수 있다. 가…
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![image](https://user-images.githubusercontent.com/112242996/217155760-a4a24bf1-6365-486c-854d-a7f367551f9c.png)
![image](https://user-images.githubusercontent.com/112242996/217155855-6ec0ae0a-7a30-4…
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Plotting SSE and silhouette coefficient (multiplying by 3M, so we can see it in 1 chart)
![image](https://user-images.githubusercontent.com/1737058/46600157-945b4400-cae9-11e8-988b-e0e8b85b319f.png…
Ladas updated
5 years ago