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lohcate
... Pathways, GO
Uses:
- Java, R, PennCNV (C++), Unix shell
- DBSCAN density-based clustering (with slight modification), homebrew region ... the algorithms I use (whether already existing, like DBSCAN and enrichment analysis, or home-brew, like segmentation ...
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wdbscan
Python implementation of a weighted extension of DBSCAN (Ester et al., 1996).
wdbscan
=======
Python implementation of a weighted ... [DBSCAN](https://en.wikipedia.org/wiki/DBSCAN) (Ester et al., 1996).
This module provides a weighted implementation of Ester ...
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nltk-examples
... refine Topic Models](http://sujitpal.blogspot.com/2015/07/using-keyword-generation-to-refine.html).
### src/stlclust
Using DBSCAN to cluster section titles in clinical notes.
### src/semantic
Python/NLTK implementation of the algorithm described in ...
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memento
... map. The locations are clustered in time and space using dbscan/k-means.
- stats-view.js: displays summarised user stats. ... for d3 to calculate the distance between two points using the haversine method.
- dbscan.js: Javascript implementation of the dbscan ...
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lsclustering
Include clustering algorithms,such as DBSCAN,K-means,etc.
lsclustering
============
Include clustering algorithms,such as DBSCAN,K-means,etc.
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pyProCT
... for that
algorithm. Ex.
```JSON
{
"kmedoids": {
"seeding_type": "RANDOM",
"max": 50,
"tries": 5
},
"hierarchical": {
},
"dbscan": {
"max": 50
},
"gromos": {
"max": 50
},
"spectral": {
"max": 50,
"force_sparse":true
}
}
```
...
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jDBScan
Java implementation of the DBScan algorithm with gnuplot integration.
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ClusteringAlgorithms
... 1. External index value (Jaccard coefficient) for the following algorithms:
⁃ KMeans
⁃ Hierarchical clustering using MIN/Single link as the distance criteria
⁃ DBScan
2. Internal index (cor(X, Y) = Σ[(xi - E(X))(yi - E(Y))] / [s(X)s(Y)] where E(X) is ...
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articleclustering
... is not necessarily needed. Other clustering algorithms like EM-clustering or a density-based approach (i.e. majorclust, DBSCAN/OPTICS) are probably better suited. Another disadvantage of hierarchical clustering is that the runtime for larger document ...
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Event-Detection
... and to create geolocated events
# An algorithm for Event Detection
## DBSCAN Algorithm in Map/Reduce logic, implemented with Hadoop and ... it in MongoDB. Its config options are in the file `mongo-dbscan.xml`.
### Map
The map function reads the points in ...
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