def Get_Prime_GpsData(filepath_name):
Latitude, Longitude = np.loadtxt(filepath_name,
dtype=float,
delimiter=',',
skiprows=1,
usecols=(0, 1),
unpack=True)
data = np.loadtxt(filepath_name,
dtype=float,
delimiter=',',
skiprows=1,
usecols=(0, 1),
unpack=False)
drewgps(Latitude, Longitude)
gpsdata = RS_Kalman(Latitude, Longitude, 3, 3)
labels, centers = multiple_cluster.science_cluster(
gpsdata, num=5, cutoff_distance=0.000087, experience=0.000045)
print len(centers)
labels1, centers1 = multiple_cluster.science_cluster(
data, num=10, cutoff_distance=0.000087, experience=0.000045)
print len(centers1)
#gpsdata=RS_Kalman(data,3,3)
print gpsdata
Lat = KalmanFilterGPS(Latitude)
Long = KalmanFilterGPS(Longitude)
#drewgps(Latitude,Long)
t = [gpsdata[i][1] for i in range(len(gpsdata))]
return Longitude, t
def Get_Prime_GpsData(filepath_name):
Latitude,Longitude=np.loadtxt(filepath_name,dtype=float,delimiter=',',skiprows=1,usecols=(0,1),unpack=True)
data=np.loadtxt(filepath_name,dtype=float,delimiter=',',skiprows=1,usecols=(0,1),unpack=False)
drewgps(Latitude,Longitude)
gpsdata=RS_Kalman(Latitude,Longitude,3,3)
labels,centers=multiple_cluster.science_cluster(gpsdata,num=5,cutoff_distance=0.000087,experience=0.000045)
print len(centers)
labels1,centers1=multiple_cluster.science_cluster(data,num=10,cutoff_distance=0.000087,experience=0.000045)
print len(centers1)
#gpsdata=RS_Kalman(data,3,3)
print gpsdata
Lat=KalmanFilterGPS(Latitude)
Long=KalmanFilterGPS(Longitude)
#drewgps(Latitude,Long)
t=[gpsdata[i][1] for i in range(len(gpsdata))]
return Longitude,t
def science_cluster_semanstic(filepath):
gps_semantic = np.loadtxt(filepath,
dtype=float,
delimiter=',',
skiprows=1,
usecols=(0, 1),
unpack=False)
labels, centers = multiple_cluster.science_cluster(
gps_semantic,
num=10,
cutoff_distance=0.000526754031788,
experience=0.00031)
#print(len(gps_semantic))
#print(len(labels))
return labels, centers
def science_cluster_semanstic(filepath):
gps_semantic=np.loadtxt(filepath,dtype=float,delimiter=',',skiprows=1,usecols=(0,1),unpack=False)
labels,centers=multiple_cluster.science_cluster(gps_semantic,num=10,cutoff_distance = 0.000526754031788,experience = 0.00031)
#print(len(gps_semantic))
#print(len(labels))
return labels,centers
