Adapted versus original functional chi-squared tests and conditional entropyUpdated 2 years ago

Sajal Kumar and Joe Song

Rendered from adapted.fun.chisq.test.Rmd in FunChisq 2.5.4.
Examples of discrete patternsUpdated 2 years ago

Joe Song

Rendered from patterns.Rmd in FunChisq 2.5.4.
Measuring functional dependency model-freeUpdated 2 years ago

Joe Song

Rendered from fun.chisq.test.Rmd in FunChisq 2.5.4.
Using the exact functional testUpdated 2 years ago

Hua Zhong and Joe Song

Rendered from exact.fun.test.Rmd in FunChisq 2.5.4.
Circular Silhouette ExamplesUpdated 3 years ago

Yinong Chen, Joe Song

Rendered from Example.Rmd in CircularSilhouette 0.0.1.
Tutorial: Using the 'TreeDimensionTest' packageUpdated 3 years ago

Joe Song

Rendered from Tutorial.Rmd in TreeDimensionTest 0.0.2.
Tutorial: Adaptive versus regular histogramsUpdated 3 years ago

Joe Song

Rendered from ahist.Rmd in Ckmeans.1d.dp 4.3.5.
Tutorial: Optimal univariate clusteringUpdated 3 years ago

Joe Song and Haizhou Wang

Rendered from Ckmeans.1d.dp.Rmd in Ckmeans.1d.dp 4.3.5.
Examples of joint grid discretizationUpdated 3 years ago

Jiandong Wang, Sajal Kumar, and Joe Song

Rendered from Examples.Rmd in GridOnClusters 0.1.0.1.
Circular genome clusteringUpdated 4 years ago

Tathagata Debnath and Joe Song

Rendered from CircularGenomes.Rmd in OptCirClust 0.0.4.
Performance of three circular data clustering algorithmsUpdated 4 years ago

Tathagata Debnath and Joe Song

Rendered from Performance.Rmd in OptCirClust 0.0.4.
Tutorial on optimal circular clusteringUpdated 4 years ago

Tathagata Debnath and Joe Song

Rendered from Tutorial_CirClust.Rmd in OptCirClust 0.0.4.
Tutorial on optimal framed clusteringUpdated 4 years ago

Tathagata Debnath and Joe Song

Rendered from Tutorial_FramedClust.Rmd in OptCirClust 0.0.4.
Using the 'DiffXTables' R package to detect heterogeneityUpdated 4 years ago

Ruby Sharma and Joe Song

Rendered from DiffXTables.Rmd in DiffXTables 0.1.3.
Note: Weight scaling in cluster analysisUpdated 5 years ago

Joe Song

Rendered from Weights.Rmd in Ckmeans.1d.dp 4.3.5.