Go language using K-nearest neighbor algorithm to realize the novel Jian Huang _golang

Usuage:
Go run knn.go--file= "Data.txt"

The key is the selection of vector points and the determination of threshold value
Sample data from the national press and publication Administration issued a notice published in the "40 Obscene Pornography network novel list"

Package main import ("Bufio" "Flag" "FMT" "io" "Log" "Math" "OS" "Path" "Path/filepath") var Debu g bool = False var Data_dir string = "./moyan"//File Store directory var limen float64 = 0.1159203888322267//Threshold const (Min_han ZI rune = 0x3400 Max_hanzi rune = 0x9fbb) var labels []rune = []rune{0x817f, 0x80f8, 0x4e73, 0x81c0, 0x5c41, 0x8 0a1, 0x88f8, 0x6deb,} func errhandle (err error) {If Err!= nil {log. Fatal (Err)}} Func load (name string) (M map[rune]int, err error) {f, err: = OS. Open (name) If Err!= nil {return nil, err} defer F.close () buf: = Bufio. Newreader (f) m = Make (Map[rune]int) var R rune for {R, _, Err = buf. Readrune () If Err!= nil {if err = = Io.  EOF {break} return nil, err} if R >= Min_hanzi && r <= Max_hanzi {M[r] + + 1}} return M, nil} func classify (M map[rune]int) (IdV []float64, dis float64) {len_m: = Len (m) for I, V: = RangE Labels {if debug {fmt.
  Println (i, M[v], string (v), float64 (m[v))/float64 (Len_m))} IdV = Append (IdV, float64 (m[v))/float64 (Len_m))} For _, V: = range IdV {dis + math. Pow (V, 2)} dis = Math. SQRT (DIS) return} func check (FP string, dis float64) {switch {case dis >= limen:fmt. PRINTLN (FP, Dis, "yellow-related") case dis = = 1.0:fmt. PRINTLN (FP, dis, "Are you cheating") case dis = = 0:fmt. PRINTLN (FP, dis, "Check the file character encoding is not UTF8 format bar") default:fmt. PRINTLN (FP, dis, "normal")} func Walkfunc (FP string, info os. FileInfo, err Error) error {if path. EXT (fp) = = ". txt" {m, err: = Load (FP) Errhandle (Err) _, Dis: = classify (m) check (FP, dis)} return ER R} var file string func init () {_, Err: = OS. Stat (Data_dir) If Err!= nil {err = OS. Mkdir (Data_dir, OS. Modeperm) Errhandle (ERR)} flag. Stringvar (&file, "file", "" "," file read in,if you don ' t give the file read in, "+" It'll create a data dictionary , Just PUSt Your files in it ")} Func main () {flag. Parse () If File = = "" {filepath. 
 
Walk (Data_dir, Walkfunc) return} m, err: = Load (file) Errhandle (err) _, Dis: = classify (m) check (file, dis)
 }

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