ialexpovad

#include "utest.h"

#include <string>
#include <string.h>
#include <stdlib.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <sys/time.h>
#include <vector>

ialexpovad

#define length(array) ((sizeof(array)) / (sizeof(array[0])))
type yourArray[] = {your, values};
length(yourArray);    // returns length of yourArray
#include <stdlib.h>
#include <stdio.h>

#define length(array) ((sizeof(array)) / (sizeof(array[0])))


int main()

ialexpovad

# %% [markdown]
# # Fuzzy C-Means Clustering

# %%
import re
import sys
import datetime
import os
import math
exceptions = (TypeError , SyntaxError, re.error, AttributeError , ValueError , NotImplementedError , Exception , RuntimeError , ImportError)

ialexpovad

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.linear_model import RidgeClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
#
# Load IRIS dataset
#

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'''
Subtractive Clustering Algorithm according to "Learning of fuzzy rules by mountain clustering" by Ronald R. Yager and Dimitar P. Filev.
'''
__author__ = 'Alex Povod'
__version__ = '0.1.1'

import numpy
import numpy.typing as npt
import scipy as sp

ialexpovad

import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm

# define constants
mu = 998.8 
sigma = 73.10
x1 = 900
x2 = 1100
# calculate the z-transform

ialexpovad

package ifcm

import (
	"fmt"
	"math"
	"sort"
)

//Interval
type Interval struct {

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std::vector<std::vector<float>> Read_Iris_Dataset(void)
{
   std::ifstream myfile("iris.data");
  std::string line;
  std::vector<std::vector<float>> Iris_Dataset;
  std::vector<float> temp_sepal_len;
  std::vector<float> temp_sepal_wid;
  std::vector<float> temp_petal_len;
  std::vector<float> temp_petal_wid;
  std::vector<float> temp_iris_class;

ialexpovad

# Several ways to calculate squared Euclidean Distance (Frobenius norm) matrices in Python

# Import modules first:
## import numpy module
import numpy as np
## import numpy linear algebra module
import numpy.linalg as la
## import scipy spatial module
import scipy.spatial as spt

ialexpovad

# General Library Pre-Build QApplication
# Notify file
Author = "Alex Povod"
Version = "0.0.1"
Domain = "https://github.com/ialexpovod/GLP"

# Python Traceback
# https://www.geeksforgeeks.org/python-traceback/

import datetime