Created
March 14, 2017 16:42
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class DTW_WINDOW(object): | |
"""Perform Distance Time Warping""" | |
def __init__(self, v1, v2, dist=dtw.DISTANCES['euclidean'], win=50): | |
set1, set2 = np.asarray(v1), np.asarray(v2) | |
self.cost_matrix = sys.maxint * np.ones((set1.size, set2.size)) | |
self.cost_matrix[0, 0] = dist(set1[0], set2[0]) | |
for i in range(1, set1.size): | |
self.cost_matrix[i, 0] = self.cost_matrix[i-1, 0] + dist(set1[i], set2[0]) | |
for j in range(1, set2.size): | |
self.cost_matrix[0, j] = self.cost_matrix[0, j-1] + dist(set1[0], set2[j]) | |
for i in range(1, set1.size): | |
for j in xrange(max(1, i - win), | |
min(set2.size, i + win)): | |
self.cost_matrix[i, j] = min(self.cost_matrix[i - 1, j - 1], | |
self.cost_matrix[i - 1, j], | |
self.cost_matrix[i, j - 1]) + dist(set1[i], set2[j]) | |
self.distance = self.cost_matrix[-1, -1] |
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