Python kmeans Examples

Example #1

File: views.py Project: RandomTony/Pytiaa

def execute_all(request):
	if(request.method == 'POST'):
		form = ExecuteAllForm(request.POST)
		if(form.is_valid()):
			new = form.cleaned_data['newPoint']
			dataset = request.session.get('dataset')
			knnRes = kmeans(new, dataset)
			pairBasedRes = PairBased(new, dataset)
			fadanaRes = fadana(new, dataset)

			preview(request.session['dataset'], new=new) # genère l'image a afficher (juste un plan du dataset)
			results = {'kmeans': knnRes[-1], 'fadana': fadanaRes[0], 'pair based': pairBasedRes[0], 'lazy analogical': "Not implemented yet"}

			return render(request, 'integration/algorithm_comparison.html', {'results': results})
	else:
		form = ExecuteAllForm()
	return render(request, 'integration/algorithm_selection.html', {'form': SelectAlgorithmForm(), 'formAll': form})

Example #2

File: views.py Project: RandomTony/Pytiaa

def _execute(form, dataset, algo):
	if(algo == 'kmeans'):
		neighbors, nneighbors, cl = kmeans(form.cleaned_data['newPoint'],
									   dataset,
									   k=form.cleaned_data['k'])
		kmeans_draw(form.cleaned_data['newPoint'], dataset, neighbors, nneighbors, cl)
	elif(algo == 'pairBased'):
		classe, c, couples = PairBased(form.cleaned_data['newPoint'], dataset)
		pb_draw(form.cleaned_data['newPoint'], dataset, c, couples, classe)
	elif(algo == 'fadana'):
		classe, triplets, analogicalDiff = fadana(form.cleaned_data['newPoint'],
												  dataset,
												  k=form.cleaned_data['k'])
		f_draw(form.cleaned_data['newPoint'], dataset, triplets, analogicalDiff, classe)
	elif(algo == 'lazy'):
		classe, triplets, analogicalDiff = lazy_analogical(form.cleaned_data['newPoint'],
														   dataset)
		la_draw(form.cleaned_data['newPoint'], dataset, triplets, analogicalDiff, classe)