def getTopNHits(point, radius, n):
landmarks = dbscan.regionQuery(point, radius)
m = {}
[mset(m, p.hits, p) for p in landmarks]
sorted(m)
vals = m.values()
return vals[len(vals) - n:]
def getTopNWeighted(point, radius, n, hitsWeight):
proxWeight = 1.0 - hitsWeight
landmarks = dbscan.regionQuery(point, radius)
m = {}
[mset(m, dbscan.fDist(point, p), p) for p in landmarks]
for p in landmarks:
dist = dbscan.fDist(point, p)
pScore = proxWeight * (1 - dist/radius)
hScore = hitsWeight * (p.hits/maxHits)
mset(m, pScore + hScore, p)
sorted(m)
vals = m.values()
return vals[len(vals) - n:]
def getTopNProx(point, radius, n):
landmarks = dbscan.regionQuery(point, radius)
m = {}
[mset(m, dbscan.fDist(point, p), p) for p in landmarks]
sorted(m)
return m.values()[0:n]
def findNear():
for p in dbscan.queryUnv():
P = dbscan.getObjPoint(p)
for cP in dbscan.regionQuery(P, 1):
print cP