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there are papers about "distance correlation analysis" where they solve a CCA like problem, but using Dcorr like ideas. same for HSIC.
http://proceedings.mlr.press/v28/chang13.pdf
http://proceedin…
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Add coactivation-based parcellation algorithm, as described in Bzdok et al. (2013).
### References
Bzdok, D., Laird, A. R., Zilles, K., Fox, P. T., & Eickhoff, S. B. (2013). An investigation of …
tsalo updated
2 years ago
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Currently, `nnmf()` doesn't specifically handle the case of symmetric `A`, resulting asymmetric `W, H`. Please consider adding such feature: that would be extremely useful for factorizing pairwise dis…
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We should verify that all examples work and if not, update them. This is the list of Jupyter networks that need to be revisited:
- [ ] examples/3x2demo.ipynb
- [ ] examples/Halo model.ipynb
- […
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Two possible ways -
1. Use KMeans with multiple K - http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html#sklearn.cluster.KMeans
2. Using a distance matrix .
- Find distance bet…
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# Reference
- [ ] [欧氏距离和余弦相似度的区别是什么?](https://www.zhihu.com/question/19640394)
- [ ] [机器学习——几种距离度量方法比较](https://my.oschina.net/hunglish/blog/787596)
- [ ] [测试向量不同距离算法。以sklearn和scipy提供的算法测试](https:/…
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### TF cooperativity
0. asymmetry vs symmetry, independence/correlation, pair-wise cooperativity relationship
![TF-cooperativity-1.pdf](https://github.com/twang15/K562-Analysis/files/7022727/TF-co…
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A key step is defining distances/similarities/correlations between features. By default, we use cosine distance.
Features can be of different types: categorical, numerical, sparse, dense... Is ther…
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This issue is to track progress of migrating `scipy.spatial.distance` per-metric `cdist`/`pdist` implementations from the original `_distance_wrap` module to the new `_distance_pybind` module and C++ …