def merge(clusts, centroids, mats, maps, i):
minDist = -1
index = -1
cent = centroids[i]
for j in range(0, len(centroids)):
distance = dist(cent,centroids[j])
if (i == j):
continue
elif (minDist == -1) or distance < minDist:
minDist = distance
index = j
for j in range(0, len(clusts[i])):
if not isinstance(clusts[index],list):
clusts[index].tolist()
clusts[index].append(clusts[i][j])
newMat = []
newMap = {}
st.redoMatrix(clusts, index, newMat, newMap)
mats[index] = np.array(newMat)
maps[index] = newMap
newCent = findCenter(mats[index])
centroids[index] = newCent
maps.pop(i)
mats.pop(i)
centroids.pop(i)
clusts.pop(i)
def merge(clusts, centroids, mats, maps, i):
minDist = -1
index = -1
cent = centroids[i]
for j in range(0, len(centroids)):
distance = u.dist(cent, centroids[j])
if (i == j):
continue
elif (minDist == -1) or distance < minDist:
minDist = distance
index = j
for j in range(0, len(clusts[i])):
if not isinstance(clusts[index], list):
clusts[index] = clusts[index].tolist()
clusts[index].append(clusts[i][j])
newMat = []
newMap = {}
st.redoMatrix(clusts, index, newMat, newMap)
mats[index] = np.array(newMat)
maps[index] = newMap
newCent = u.findCenter(mats[index])
centroids[index] = newCent
maps.pop(i)
mats.pop(i)
centroids.pop(i)
clusts.pop(i)
def dissolve(clusts, centroids, mats, maps, i):
trans = mats[i].transpose()
cl.__init__(trans, clusts[i], maps[i])
num = len(clusts[i])/8+1
results = cl.kMeans(num, 20)
pClusts = results[0]
pCents = results[1]
clusts.pop(i)
centroids.pop(i)
mats.pop(i)
maps.pop(i)
for j in range(0, len(pClusts)):
clusts.append(pClusts[j])
centroids.append(pCents[j])
newMat = []
newMap = {}
st.redoMatrix(clusts,len(clusts)-1,newMat, newMap)
mats.append(newMat)
maps.append(newMap)
def dissolve(clusts, centroids, mats, maps, i):
trans = mats[i].transpose()
cl.__init__(trans, clusts[i], maps[i])
num = len(clusts[i]) / 8 + 1
results = cl.kMeans(num, 20)
pClusts = results[0]
pCents = results[1]
clusts.pop(i)
centroids.pop(i)
mats.pop(i)
maps.pop(i)
for j in range(0, len(pClusts)):
clusts.append(pClusts[j])
centroids.append(pCents[j])
newMat = []
newMap = {}
st.redoMatrix(clusts, len(clusts) - 1, newMat, newMap)
mats.append(newMat)
maps.append(newMap)