Here you see general information about the clustering method.
In Markov Clustering the input similarities are interpret as a graph on which densely connected areas are identified by simulating random walks. The clustering processes itself is performed by repeatedly alternating so-called expansion steps and inflation steps. The expansion steps allow simulated walks of long distances while the inflation steps sharpen the emerging local cluster structure.
Information | Value |
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Name | MCL/mcl-12-068 |
Download | Click |