Comments (4)
Can you share a (small) dataset that produces NAN values with me?
from dbscan.
Hello Micheal,
Thank for looking into the issue. I have attached the .csv file with this email.
Regards,Samneet Singh
Date: Thu, 31 Mar 2016 09:25:12 -0700
From: [email protected]
To: [email protected]
CC: [email protected]
Subject: Re: [mhahsler/dbscan] LOF return Nan values (#2)
Can you share a (small) dataset that produces NAN values with me?
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from dbscan.
I seem to not be able to see your attachment. Can you email it directly to me at michael at hahsler.net?
from dbscan.
The problem was that the data has more than k duplicate points. The new version returns now 1 instead of NaN. However, the LOF paper suggests to first remove duplicates before running LOF.
from dbscan.
Related Issues (20)
- NA values on parameters in dbscan HOT 1
- hdbscan, distance matrix HOT 3
- Segmentation fault in HDBSCAN when clustering a large(?) dataset HOT 1
- some strange results of sNN function HOT 7
- Discrepancies in outlier score between HDBSCAN R and python HOT 7
- Implement Density-Based Clustering Validation (DBCV) HOT 2
- BD-trees
- DBSCAN with categorica/factor/dummy variables HOT 1
- hdbscan HOT 2
- LOF edge case HOT 2
- LOF fails after upgrading to dbscan 1.1-6 HOT 2
- Possible Memory Leak HOT 2
- kNN crashing (segfault) when matrix has Inf values HOT 1
- mrdist error in large datasets HOT 3
- frNN object created from scratch couldn't be used in dbscan HOT 6
- Error in mrd(x_dist, coredist) : number of mutual reachability distance values and size of the distances do not agree. HOT 6
- DBSCAN for trajectories HOT 4
- Getting an error when using predict: x has to be a numeric matrix. HOT 2
- may you clarify is multi-density clustering is implemented, since it is mentioned on references ? HOT 1
- R session aborted in pointdensity() HOT 4
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