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authorDaniel Baumann <daniel.baumann@progress-linux.org>2022-11-30 18:47:00 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2022-11-30 18:47:00 +0000
commit03bf87dcb06f7021bfb2df2fa8691593c6148aff (patch)
treee16b06711a2ed77cafb4b7754be0220c3d14a9d7 /ml/KMeans.h
parentAdding upstream version 1.36.1. (diff)
downloadnetdata-upstream/1.37.0.tar.xz
netdata-upstream/1.37.0.zip
Adding upstream version 1.37.0.upstream/1.37.0
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'ml/KMeans.h')
-rw-r--r--ml/KMeans.h41
1 files changed, 41 insertions, 0 deletions
diff --git a/ml/KMeans.h b/ml/KMeans.h
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--- /dev/null
+++ b/ml/KMeans.h
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+// SPDX-License-Identifier: GPL-3.0-or-later
+
+#ifndef KMEANS_H
+#define KMEANS_H
+
+#include <atomic>
+#include <vector>
+#include <limits>
+#include <mutex>
+
+#include "SamplesBuffer.h"
+#include "json/single_include/nlohmann/json.hpp"
+
+class KMeans {
+public:
+ KMeans(size_t NumClusters = 2) : NumClusters(NumClusters) {
+ MinDist = std::numeric_limits<CalculatedNumber>::max();
+ MaxDist = std::numeric_limits<CalculatedNumber>::min();
+ };
+
+ void train(const std::vector<DSample> &Samples, size_t MaxIterations);
+ CalculatedNumber anomalyScore(const DSample &Sample) const;
+
+ void toJson(nlohmann::json &J) const {
+ J = nlohmann::json{
+ {"CCs", ClusterCenters},
+ {"MinDist", MinDist},
+ {"MaxDist", MaxDist}
+ };
+ }
+
+private:
+ size_t NumClusters;
+
+ std::vector<DSample> ClusterCenters;
+
+ CalculatedNumber MinDist;
+ CalculatedNumber MaxDist;
+};
+
+#endif /* KMEANS_H */