From 643fcdf4df34406930d9f25de8b251b27d84b15a Mon Sep 17 00:00:00 2001 From: Sikorski Date: Tue, 12 Dec 2023 16:20:33 +0100 Subject: [PATCH] format references --- .gitignore | 2 +- README.md | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.gitignore b/.gitignore index 20fe29d..1c02e5e 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,5 @@ *.jl.*.cov *.jl.cov *.jl.mem -/Manifest.toml +Manifest.toml /docs/build/ diff --git a/README.md b/README.md index 365e0d8..bc89a1f 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ P=rand(10,10) P = P ./ sum(P, dims=2) # row stochastic matrix # basic PCCA+ clustering with 2 clusters (using no weighting and the ISA initial guess only) -chi = pcca(P, 2) # +chi = pcca(P, 2) using KrylovKit using SparseArrays @@ -32,6 +32,6 @@ chi = pcca(P, 2; pi=:stationary, optimize=true, solver=KrylovSolver()) For sparse matrix support, add either the `ArnoldiMethod.jl` or `KrylovKit.jl` and pass the corresponding `ArnoldiSolver()` or `KrylovSolver()` as a solver. ## References -1. 2006, M. Weber: Meshless Methods in Conformation Dynamics -2. 2013, S. Röblitz, M. Weber: Fuzzy Spectral Clustering by PCCA+ -3. 2018, K. Fackeldey, A. Sikorski, M. Weber: Spectral Clustering for Non-Reversible Markov Chains \ No newline at end of file +1. [2006, M. Weber: Meshless Methods in Conformation Dynamics](https://opus4.kobv.de/opus4-zib/frontdoor/deliver/index/docId/1023/file/promotionweber.pdf) +2. [2013, S. Röblitz, M. Weber: Fuzzy Spectral Clustering by PCCA+](https://doi.org/10.1007/s11634-013-0134-6) +3. [2018, K. Fackeldey, A. Sikorski, M. Weber: Spectral Clustering for Non-Reversible Markov Chains](https://doi.org/10.1007/s40314-018-0697-0) \ No newline at end of file