From 5c7f8ba6a40208aeb41689c51345104846207679 Mon Sep 17 00:00:00 2001 From: Nico de Vos Date: Tue, 28 Apr 2015 17:37:44 -0700 Subject: [PATCH] Update README.rst --- README.rst | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.rst b/README.rst index 3892f9a..b999d3c 100644 --- a/README.rst +++ b/README.rst @@ -26,9 +26,9 @@ categorical data. Implemented are: -- k-modes [1]_ [#]_ -- k-modes with initialization based on density [#]_ -- k-prototypes [1]_ +- k-modes [HUANG97]_ [HUANG98]_ +- k-modes with initialization based on density [CAO09]_ +- k-prototypes [HUANG97]_ The code is modeled after the k-means module in scikit-learn and has the same familiar interface. @@ -57,12 +57,12 @@ Usage References ---------- -.. [1] Huang, Z.: Clustering large data sets with mixed numeric and categorical values, +.. [HUANG97] Huang, Z.: Clustering large data sets with mixed numeric and categorical values, Proceedings of the First Pacific Asia Knowledge Discovery and Data Mining Conference, Singapore, pp. 21-34, 1997. -.. [#] Huang, Z.: Extensions to the k-modes algorithm for clustering large data sets +.. [HUANG98] Huang, Z.: Extensions to the k-modes algorithm for clustering large data sets with categorical values, Data Mining and Knowledge Discovery 2(3), pp. 283-304, 1998. -.. [#] Cao, F., Liang, J, Bai, L.: A new initialization method for categorical data +.. [CAO09] Cao, F., Liang, J, Bai, L.: A new initialization method for categorical data clustering, Expert Systems with Applications 36(7), pp. 10223-10228., 2009.