Python KMeans.K_Means 예제들

예제 #1

print("Time taken in millis:", timeTaken)
# print("Product score:", productScore)

# SPG
timeTaken = int(round(time.time() * 1000))
selectedProdsSPG, productScore = SPG(k, C, SBS, EP_New, CP_New)
timeTaken = int(round(time.time() * 1000)) - timeTaken 
print("Single Product Based Greedy Algorithm : \n", selectedProdsSPG)
print("Time taken in millis:", timeTaken)
# print("Product score:", productScore)


# =================================KMEANS CLUSTERING=====================================

timeTaken = int(round(time.time() * 1000))
EP_New, CP_New = KMeans.K_Means(data, SBS, C, EP, CP, bestSampledProds, n_clusters)
timeTaken = int(round(time.time() * 1000)) - timeTaken
print('Kmeans time:', timeTaken)

print('AFTER KMEANS CLUSTERING:')
# IG
timeTaken = int(round(time.time() * 1000))
selectedProdsIG, productScore = IG(k, C, SBS, EP_New, CP_New)
timeTaken = int(round(time.time() * 1000)) - timeTaken
print("Incremental Based Greedy Algorithm : \n", selectedProdsIG)
print("Time taken in millis:", timeTaken)
# print("Product score:", productScore)

# SPG
timeTaken = int(round(time.time() * 1000))
selectedProdsSPG, productScore = SPG(k, C, SBS, EP_New, CP_New)

예제 #2

파일: main.py 프로젝트: NotYeshwanthReddy/KMDP

	# SPG
	timeTaken = int(round(time.time() * 1000))
	selectedProdsSPG, productScore = SPG(k, C, SBS, EP_New, CP_New)
	timeTaken = int(round(time.time() * 1000)) - timeTaken 
	print("Single Product Based Greedy Algorithm : \n", selectedProdsSPG)
	print("Time taken in millis:", timeTaken)
	# print("Product score:", productScore)
except:
	print("Error in Mean Shift")


# =================================KMEANS CLUSTERING=====================================

try:
	timeTaken = int(round(time.time() * 1000))
	EP_New, CP_New = KMeans.K_Means(data, SBS, C, EP, CP, bestSampledProds, 10)
	timeTaken = int(round(time.time() * 1000)) - timeTaken
	print('Kmeans time:', timeTaken)

	print('AFTER KMEANS CLUSTERING:')
	# IG
	timeTaken = int(round(time.time() * 1000))
	selectedProdsIG, productScore = IG(k, C, SBS, EP_New, CP_New)
	timeTaken = int(round(time.time() * 1000)) - timeTaken
	print("Incremental Based Greedy Algorithm : \n", selectedProdsIG)
	print("Time taken in millis:", timeTaken)
	# print("Product score:", productScore)

	# SPG
	timeTaken = int(round(time.time() * 1000))
	selectedProdsSPG, productScore = SPG(k, C, SBS, EP_New, CP_New)