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--- algorithms [2009/05/12 04:10] – mark
+++ algorithms [2010/05/06 01:45] (current) – mark
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-====== Algorithms ======
+====== Welcome to Software Clustering Encyclopedia ======
+Software clustering methods group entities of a software system, such as classes or
+source files, into subsystems, and compute views that will uncover buried facts about
+the software system.
+Such methods have been successfully applied to solve many reverse engineering
+problems. The amount of software clustering related research published
+in the literature these days demonstrates the importance that the research community places on the development of effective software clustering techniques.
+Research on software clustering has taken three directions:
+  - Development of better software clustering algorithms or the improvement of existing ones
+  - Evaluation of existing software clustering methods
+  - Investigation of further application for clustering methodologies in a software context
+====== Cluster Analysis ======
+Cluster Analysis is a group of multivariate techniques whose primary purpose is to
+group entities based on their attributes. Entities are classified according to
+predetermined selection criteria, so that similar objects are placed in the same cluster.
+The objective of any clustering algorithm is to sort entities into groups, so that the
+variation between clusters is maximized relative to variation within clusters.
+The typical stages of cluster analysis techniques are as follows:
+  - Fact Extraction and Filtering
+  - Analysis
+    - Compute resemblance coefficients
+    - Cluster Creation
+  - Results Visualization
+  - User Feedback Collection
+The process may now repeat until satisfactory results are obtained.
+====== See also ======
+  * [[protected:acdc|ACDC]]
+  * [[protected:bunch|Bunch]]
+  * [[protected:limbo|LIMBO]]
+  * [[protected:agglomerative|Agglomerative]]