I Write C code to read LIBSVM data set files to call the function create_BatchKmeans to do clustering, but when the data sets are the large file like 777 MB (815,140,552 bytes) , there is an error:
OSError: exception: access violation writing 0x000001708DB6E000
I do not good at C ,So I need your help
SfDataSet* NewDataSet(const string& file_name)
{
//std::cerr << "Reading data from: " << file_name << std::endl;
SfDataSet* data_set = new SfDataSet(file_name, 40, false);
return data_set;
}
int create_BatchKmeans(char* s, int s_len, int default_k, int default_iterations, float default_L1_lambda, float default_L1_epsilon)
{
std::string ps(s, s_len);
//memcpy(ps, s, s_len);
for (int i = 0; i < s_len; i++)
{
ps[i] = s[i * 2];
}
ps[s_len] = '\0';
SfDataSet* training_data = NewDataSet(ps);
//training_data->vectors_[0].features_.size();
int default_dimensionality = training_data->NumExamples();// (2 << 16);
SfClusterCenters* cluster_centers = new SfClusterCenters(default_dimensionality);
training_data->Transpose();
sofia_cluster::OptimizedKmeansPlusPlus(default_k, *training_data, cluster_centers);
sofia_cluster::BatchKmeans(default_iterations, *training_data, cluster_centers, default_L1_lambda, default_L1_epsilon);
std::fstream result_stream;
string str_result = ps;
str_result += ".result";
result_stream.open(str_result.c_str(), std::fstream::out);
if (!result_stream)
{
return 1;
}
for (int i = 0; i < cluster_centers->cluster_centers_.size(); i++)
{
for (int j = 0; j < cluster_centers->cluster_centers_[i].dimensions_; j++)
{
result_stream << cluster_centers->cluster_centers_[i].weights_[j];
result_stream << " ";
}
result_stream << "\n";
}
result_stream.close();
std::cerr << "Done." << std::endl;
return 0;
}
Assuming
s_lenis the length ofsin characters, you're accessing outside the array when you read froms[i * 2].Since
NewDataSet()takes astringas its argument,psshould be astringrather thanchar*. You can initialize it froms.This copies the contents of
sintops, you don't need this loop: