From 03bf87dcb06f7021bfb2df2fa8691593c6148aff Mon Sep 17 00:00:00 2001
From: Daniel Baumann <daniel.baumann@progress-linux.org>
Date: Wed, 30 Nov 2022 19:47:00 +0100
Subject: Adding upstream version 1.37.0.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
---
 ml/KMeans.h | 41 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)
 create mode 100644 ml/KMeans.h

(limited to 'ml/KMeans.h')

diff --git a/ml/KMeans.h b/ml/KMeans.h
new file mode 100644
index 000000000..0398eeb86
--- /dev/null
+++ b/ml/KMeans.h
@@ -0,0 +1,41 @@
+// 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 */
-- 
cgit v1.2.3