the second paper on Genie has been published

Author: gagolews

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: genie
 Type: Package
 Title: A New, Fast, and Outlier Resistant Hierarchical Clustering Algorithm
-Version: 1.0.2
-Date: 2016-05-25
+Version: 1.0.3
+Date: 2016-09-12
 Authors@R: c(
     person("Marek", "Gagolewski", role = c("aut", "cre"),
     email = "[email protected]"),
@@ -18,7 +18,8 @@ Description: A new hierarchical clustering linkage criterion:
     indicate a high practical usefulness of the introduced method:
     it most often outperforms the Ward or average linkage in terms of
     the clustering quality while retaining the single linkage speed,
-    see (Gagolewski et al. 2016 <DOI:10.1016/j.ins.2016.05.003>)
+    see (Gagolewski et al. 2016a <DOI:10.1016/j.ins.2016.05.003>,
+    2016b <DOI:doi:10.1007/978-3-319-45656-0_16>)
     for more details.
 License: GPL (>= 3)
 BugReports: http://github.com/gagolews/genie/issues

NEWS

@@ -8,9 +8,17 @@
 The algorithm's description can now be found in:
 
 Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and outlier-resistant
-hierarchical clustering algorithm, Information Sciences, 2016,
+hierarchical clustering algorithm, Information Sciences 363, 2016, pp. 8-23,
 doi:10.1016/j.ins.2016.05.003
 
+See also:
+
+Gagolewski M., Cena A., Bartoszuk M., Hierarchical clustering via penalty-based
+aggregation and the Genie approach, In: Torra V. et al. (Eds.),
+Modeling Decisions for Artificial Intelligence (Lecture Notes in Artificial
+Intelligence 9880), Springer, 2016, pp. 191-202,
+doi:10.1007/978-3-319-45656-0_16.
+
 
 ## 1.0.0 (2016-03-07)
 

R/hclust2.R

@@ -90,7 +90,13 @@
 #'
 #' Gagolewski M., Bartoszuk M., Cena A.,
 #' Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm,
-#' \emph{Information Sciences}, 2016, doi:10.1016/j.ins.2016.05.003.
+#' \emph{Information Sciences} 363, 2016, pp. 8-23.
+#'
+#' Gagolewski M., Cena A., Bartoszuk M.
+#' \emph{Hierarchical clustering via penalty-based aggregation and the Genie
+#' approach}, In: Torra V. et al. (Eds.), \emph{Modeling Decisions for
+#' Artificial Intelligence} (\emph{Lecture Notes in Artificial Intelligence}
+#' 9880), Springer, 2016.
 #'
 #' @export
 hclust2 <- function(d=NULL, objects=NULL,

inst/CITATION

@@ -8,13 +8,12 @@ bibentry(
     ),
     journal      = "Information Sciences",
     year         = "2016",
-    #  volume       = "X",
-    #  number       = "Y",
-    #  pages        = "V--W",
+    volume       = "363",
+    pages        = "8--23",
     doi          = "10.1016/j.ins.2016.05.003",
     textVersion  = paste(
         "Gagolewski M., Bartoszuk M., Cena A.",
         "Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm.",
-        "Information Sciences, 2016, in press, doi:10.1016/j.ins.2016.05.003."
+        "Information Sciences 363, 2016, pp. 8-23, doi:10.1016/j.ins.2016.05.003."
     )
 )