tkintt.py
Expand|Select|Wrap|Line Numbers
- import Tkinter
- from _tkinter import *
- root = Tkinter.Tk()
- label1 = Tkinter.Label(text = " enter cluster : ")
- label1.pack()
- clvar = Tkinter.IntVar()
- cluster = Tkinter.Entry(bd = 5)
- clvar = cluster.get()
- cluster.pack()
- def open1():
- print ("K-MEDOIDS CLUSTERING")
- execfile('example.py')
- button_1 = Tkinter.Button(text = "SUBMIT", command = open1)
- button_1.pack()
- root.mainloop()
Expand|Select|Wrap|Line Numbers
- from k_medoids import KMedoids
- import numpy as np
- import matplotlib.pyplot as plt
- def example_distance_func(data1, data2):
- '''example distance function'''
- return np.sqrt(np.sum((data1 - data2)**2))
- if __name__ == '__main__':
- X = np.random.normal(0,3,(500,2))
- model = KMedoids(n_clusters= cluster, dist_func=example_distance_func)
- model.fit(X, plotit=True, verbose=True)
- plt.show()
error :
Traceback (most recent call last):
File "C:\Users\user\Anaconda2\lib\lib-tk\Tkinter.py", line 1537, in __call__
return self.func(*args)
File "C:/Users/user/Anaconda2/K_Medoids-master/tkintt.py", line 15, in open1
execfile('example.py')
File "example.py", line 13, in <module>
model.fit(X, plotit=True, verbose=True)
File "C:\Users\user\Anaconda2\K_Medoids-master\k_medoids.py", line 114, in fit
X,self.n_clusters, self.dist_func, max_iter=self.max_iter, tol=self.tol,verbose=verbose)
File "C:\Users\user\Anaconda2\K_Medoids-master\k_medoids.py", line 54, in _kmedoids_run members, costs, tot_cost, dist_mat = _get_cost(X, init_ids,dist_func)
File "C:\Users\user\Anaconda2\K_Medoids-master\k_medoids.py", line 37, in _get_cost mask = np.argmin(dist_mat,axis=1)
File "C:\Users\user\Anaconda2\lib\site-packages\numpy\core\fromnumeric.py", line 1034, in argmin return argmin(axis, out)
ValueError: attempt to get argmin of an empty sequence