#521: OPTICS optimization - update file CHANGES.

annoviko · Jul 16, 2019 · 7538f59 · 7538f59
1 parent 56bc237
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diff --git a/CHANGES b/CHANGES
@@ -5,7 +5,10 @@ CHANGE NOTES FOR 0.9.0 (STARTED Apr 14, 2019), (RELEASED: -)
 ------------------------------------------------------------------------
 
 GENERAL CHANGES:
-- Optimization of K-Medians algorithm by parallel processing (pyclustering.cluster.kmedians).
+- Optimization of OPTICS algorithm by reducing complexity (ccore.clst.optics).
+  See: https://github.com/annoviko/pyclustering/issues/521
+
+- Optimization of K-Medians algorithm by parallel processing (ccore.clst.kmedians).
   See: https://github.com/annoviko/pyclustering/issues/529
 
 - Introduced 'predict' method for K-Medoids algorithm to find closest clusters for particular points (pyclustering.cluster.kmedoids).

diff --git a/ccore/src/cluster/optics.hpp b/ccore/src/cluster/optics.hpp
@@ -68,7 +68,7 @@ class optics : public cluster_algorithm  {
 private:
     struct neighbor_descriptor {
     public:
-        std::size_t m_index           = INVALID_INDEX;
+        std::size_t m_index             = INVALID_INDEX;
         double m_reachability_distance  = 0;
 
     public: