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Results tagged with clustering
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user 18513
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval etc.
5
votes
Why does OPTICS use the core-distance as a minimum for the reachability distance?
Robust Single Linkage aims to improve single linkage clustering by making it more robust to noise. … Again we are using core-distance to discount noise, and make the clustering more noise robust. …
- 405
1
vote
Alternative methods for improved clustering separation?
Clustering cannot inherently extract labelled classes. If you have labels then you should use those with a supervised algorithm. … Clustering corresponds to the something about the distributional properties of your data set. …
- 405
2
votes
How to run hdbscan clustering faster?
hdbscan greatly prefers lower dimensional data than the output of sentence-BERT. Ultimately the hdbscan library wants to use KDTrees of BallTrees for efficient nearest neighbor querying, and these wor …
- 405
0
votes
Accepted
HDBSCAN Outlier Detection and labeling
If, on the other hand, you are more interested in generally outlying points then merely selecting the noise points from the clustering will pick out points in sparser regions of the space. …
- 405
2
votes
Do Clustering algorithms need feature scaling in the pre-processing stage?
Feature scaling will certainly effect clustering results. … Exactly what scaling to use is an open question however, since clustering is really an exploratory procedure rather than something with a ground truth you can check against. …
- 405
4
votes
Can you l2 normalize word2vec vectors for density clustering?
With that in mind I have done quite well clustering similar dimension word vectors trained with word2vec using HDBSCAN using exactly such an l2-normalizing approach as you suggest here. …
- 405