def pcaSift():
inputArr = inputArray.getInputsInArrayForm(0, "sift", True)
compList = np.asarray(inputArr)
# row - data
# colum - variable
findCov = np.array(inputArr)
covMat = np.cov(findCov, None, False, False, 0)
w = np.linalg.eigh(covMat)[0]
v = np.linalg.eigh(covMat)[1]
idx = w.argsort()[::-1]
w = w[idx]
w = np.diag(w)
v = v[:, idx]
reduceToD = input("Enter the D value to reduce the dimensions: ")
extracted = v[:, :int(reduceToD)]
extracted = extracted.T
outputArr = np.dot(extracted, compList.T)
outputArr = outputArr.T
outputWriter.formatOutput("sift", outputArr)
outputWriter.writeDComp("siftDComp.spca", extracted)
print("Reduced dimension size: ", outputArr.shape)
print("Wrote output into the file..")
def pcaHist():
inputArr = inputArray.getInputsInArrayForm(0, "hist", True)
compList = np.asarray(inputArr)
# row - data
# colum - variable
findCov = np.array(inputArr)
covMat = np.cov(findCov, None, False, False, 0)
w = np.linalg.eigh(covMat)[0]
v = np.linalg.eigh(covMat)[1]
idx = w.argsort()[::-1]
w = w[idx]
w = np.diag(w)
v = v[:, idx]
print(idx)
reduceToD = input("Enter the D value to reduce the dimensions: ")
extracted = v[:, :int(reduceToD)]
extracted = extracted.T
outputArr = np.dot(extracted, compList.T)
outputArr = outputArr.T
fOpen = open("histPca.out", "w")
for i in range(len(outputArr)):
for j in range(len(outputArr[i])):
fOpen.write("%s," % outputArr[i][j])
fOpen.write("\n")
fOpen.close()
print("Reduced dimension size: ", outputArr.shape)
print("Wrote output into the file..")
def kmeansHist():
print("Enter the number of dimensions ")
d = int(input())
histArray = inputArray.getInputsInArrayForm(0, "hist", True)
kmeans = KMeans(n_clusters=d, random_state=0).fit(histArray)
clusterArray = kmeans.cluster_centers_
reducedVectors = []
for i in range(len(histArray)):
newVector = []
for j in range(d):
p = numpy.dot(histArray[i], clusterArray[j])
newVector.append(p)
reducedVectors.append(newVector)
outputWriter.writeDComp("histDComp.hkmeans", clusterArray)
print("Output vector generated of dimension:")
print(len(reducedVectors), len(reducedVectors[0]))
outputWriter.formatOutput("kmeansHist", reducedVectors)