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README.md

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## [About](https://github.com/Graphistics/simkit/wiki)
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## Methodology
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## Procedure Stack
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return simkit.getMatrix("affinity_full_7_Iris","adjacency","/path/to/folder")
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```
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## Features
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SimKit contains ... procedures, which read CSV files, map nodes, generate ... similarity graphs using .. different distance measures, generate laplacian eigendecomposed graph, perform K-means clustering, and validate the clustering with silhouette coefficient.
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## Procedures to
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---> map data into Neo4j Nodes
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---> generate Similarity graph
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---> generate Laplacian eigendecomposed graph
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---> perform K-means clustering and validate it with silhouette coefficient
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---> calculate Adjusted rand index
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---> perform Spectral clustering (feature-/graph-based clustering) and validate it with silhouette coefficient
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---> visualize and save matrix (adjacency/X matrix) as CSV
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## Changelog
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- Renamed main. to simkit.

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