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aiex718 committed Nov 17, 2018
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4 changes: 2 additions & 2 deletions Kmeans/Program.cs
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Expand Up @@ -18,7 +18,7 @@ static void Main(string[] args)
{
bool retry = true;
int RetryCount = 0;
int NodesMaxValueSet=10000, NodesSet=15000, ClassSet=3, IterationLimit=100, ConvDistance=5 , DataGroupCount = 3;
int NodesMaxValueSet=10000, NodesSet=10000, ClassSet=3, IterationLimit=100, ConvDistance=5 , DataGroupCount = 3;
double FluctuationRatio = 0.18;

Console.WriteLine("Using demo setup?[y/n]");
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{
Console.WriteLine("Input node maximum value:(Default:10000)");
NodesMaxValueSet = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("Input node count:(Default:15000)");
Console.WriteLine("Input node count:(Default:10000)");
NodesSet = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("Input class count:(Default:3)");
ClassSet = Convert.ToInt32(Console.ReadLine());
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17 changes: 16 additions & 1 deletion README.md
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# ML_Learning
# ML_Learning
A course project.
Currently contains 2 algorithm,K-nn and K-means.


# Usage
Launch Kmeans.exe or Knn.exe ,input 'Y' for demonstration mode,'N' for custom arguments.


# Download
Refer to [release pages](https://github.com/aiex718/ML_Learning/releases)


# Requirement
.Net 4.0
Visual Studio 2015

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