 |
Because of the limited number of locations the police can
support, we will use the weighted K-means cluster analysis method to divide the elderly into k clusters, where k >= Ln. In this paper, we set Ln to be 3. This means the policies will support at least 3 locations in a police station jurisdiction. Kmeans is a nonsupervised data mining method to classify n samples into k clusters.
The locations of the elders are {x1, x2, ..., xn}. These locations will be classified into cluster S, defined as {s1, s2, ..., sk}. The cluster centers of si is xbari.
wx is the weight of the elderly at location x.
P is the population in the police station jurisdiction.
N is the population that each police officer is responsible for
To prevent clusters from being too scattered, the number of
clusters k in this study is set to the formula below where P is the population of the elderly in the police station jurisdiction, and n is the number of elderly responsible for by each police officer.
|
IEEE/ICACT20230036 Slide.09
[Big Slide]
[YouTube]