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jAIL
... contain different mathematical
topics, such as algorithm, new data structures and a lot of more things.
Features already implemented:
* distance functions (Euclidean, Manhatten, Hamming)
* data structures like Matrix, Point
* clustering algorithm DBScan
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esp
... detection and push events to another database
* We can use dbscan to do this http://www.c-sharpcorner.com/uploadfile/b942f9/ ... -dbscan-algorithm-using-C-Sharp/
* http://en.wikipedia.org/wiki/DBSCAN
* Add some web services (could event be simple json over ...
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clustering
Clustering algorithms in Ruby
An implementation of the following clustering algorithms in Ruby:
- DBscan
- SUBCLU
When using DBscan the distance measure has to be parameterised to specify which attributes should be considered.
See main.rb on how to use ...
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Learning-Library-for-PHP
... to other UCB variants.
## References
* [1] Domenica Arlia, Massimo Coppola. "Experiments in Parallel Clustering with DBSCAN". Euro-Par 2001: Parallel Processing: 7th International Euro-Par Conference Manchester, UK August 28–31, 2001, Proceedings. ...
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rudder
... of records in a cluster
IRudderList myRecords = new RudderList();
//populate your object
DBScan dbscan = new DBScan(epsilon, minClusterSize);
db.setSourceData(list);
ArrayList clusters = db. ...
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car-datascience-toolkit
... as possible for data journalists to learn from and understand.
h3. Tools currently implemented include:
* Clustering algorithms: DBSCAN; k-means clustering
* Classification: Naive Bayes classifier; k-nearest neighbors
* Similarity metrics: Euclidean ...
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acapulco
... can be deployed on a central server to automatically generate meta-events from several hpfeeds channels. This events are clustered using DBSCAN or K-means algorithms and displayed at an external client using parallel coordinates graphs based on the D3.js ...
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wiggle_dbc
... . The program that conducts the filtering is named 'expfilter.jrb'.
Finally, a program named 'clstrwig.jrb' uses the DBSCAN algorithm to cluster the filtered results, forming groups based on density. Using domain knowledge (chromosomes are physically ...
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clustering.js
... the library consist of:
* Simple k-means (Lloyd's algorithm)
* DBScan
Usage
===
k-means
---
See http://en.wikipedia.org/wiki/K- ... {id: 3, x: 6, y: 4}, ]
var cluster = clustering.dbscan()
.epsilon(3) // Distance value (eps in wikipedia article)
. ...
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