User Leland McInnes

5 votes

Why does OPTICS use the core-distance as a minimum for the reachability distance?

answered May 7, 2016 at 17:17

4 votes

Can you l2 normalize word2vec vectors for density clustering?

answered Sep 4, 2017 at 0:45

4 votes

Accepted

Auto-Encoder to condense (pre-process) large one-hot input vectors?

answered Aug 20, 2018 at 17:48

3 votes

Accepted

Reusing UMAP transformation

answered Dec 12, 2021 at 18:48

2 votes

How to run hdbscan clustering faster?

answered Dec 12, 2021 at 18:53

2 votes

When projecting data with UMAP, should I use only the samples I need projected or the entire dataset?

answered Mar 23, 2019 at 0:57

2 votes

Do Clustering algorithms need feature scaling in the pre-processing stage?

answered Sep 4, 2017 at 0:48

2 votes

What are 2D dimensionality reduction algorithms good for?

answered Mar 29, 2017 at 13:53

1 vote

Dimension reduction for logical arrays

answered Mar 29, 2017 at 18:44

1 vote

Alternative methods for improved clustering separation?

answered Mar 22, 2017 at 2:18

0 votes

Accepted

HDBSCAN Outlier Detection and labeling

answered Nov 6, 2017 at 4:16

0 votes

How to reduce position changes after dimensionality reduction?

answered Sep 7, 2019 at 23:14

0 votes

Measuring coherence score for Top2Vec models

answered Dec 12, 2021 at 18:57

Stack Exchange Network

13 Answers

Why does OPTICS use the core-distance as a minimum for the reachability distance?

Can you l2 normalize word2vec vectors for density clustering?

Auto-Encoder to condense (pre-process) large one-hot input vectors?

Reusing UMAP transformation

How to run hdbscan clustering faster?

When projecting data with UMAP, should I use only the samples I need projected or the entire dataset?

Do Clustering algorithms need feature scaling in the pre-processing stage?

What are 2D dimensionality reduction algorithms good for?

Dimension reduction for logical arrays

Alternative methods for improved clustering separation?

HDBSCAN Outlier Detection and labeling

How to reduce position changes after dimensionality reduction?

Measuring coherence score for Top2Vec models