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Old Chinese version

Vqqơ]vector quantization^iHO~ӦbCƶqW̱`QXQתk@AרObDzθYWAVqqƧOiʥF@C

bӦVqqƪL{A̭nu@KOsX]codebook^]pCҿ׽sXAO@ssXVq]codevector codeword^XAӧڭ̳̲תؼСAKOHoǬDXӪsXVqӥNӪŶƦVqC

|ҨӻApUϩҥܡAb@ӤGŶAڭ̱NӪŶΦYzACӵH@ӽsXVq]I^ӥNAp@ӡAŶVqiHuoǦsXVqӥNAoKOVqqƪ믫ҦbC 5-2-4.aGGŶWVqqƽd

]xODŶVqAbϧοѬy{AxiNNYدSxr]feature string^AҦpbvBziODCTYơAbyѤiOLPC]linear prediction coefficient^Aڭ̧ƱzLYع覡QANxPˬODŶsXVqyiWAyiƥءAK٬ӽsXjpC

q[WӬݡAQتMOƱVqxyi᪺u]distortion^ d]x, yi^VCVnCd]x, yi^iHUU˪ZάOu覡AҦpt]square error^C

̰򥻪VqqƺtkӭnO1980~Y. Linde, A. Buzo, MR. Gray@PXVqqƺtk [25]AӤH̴NNӺtk٬LBGtkCLBGtkbWĥΤFk-meanssk [1]AھڹwsXjp]]Ok^ANҦVmVq]training vector^ksAӦUss߫KNUssXVqC

AUا}Vqqƺtk_QX [21] [9]A򥻤WĥΤ@ؾ𪬪覡AӦVqqƪL{iH²ƦHUXӨBJG

  1. NVmVqk@sC
  2. DYؤίSxANCӾ𪬵c̩hsEΦⳡAöik-means skCܩΪ覡AiHѭ줤I}lAܪuDnq]principal component^VAUkIA@ k-means ҩlIC
  3. p̩hsEƥؤMpwsXjpAh^BJGC
  4. p𪬵c̩hCӸsEsߡAYNUssXVqC
bBJGίSxAhھڤPΤΤPtkӦҤPAҦpbvBzAKiO֦̤jܲqDCTY [3] AάOĥΥDnqRk]principal component analysis^XnvSx [26]C
Data Clustering and Pattern Recognition (ƤsP˦{)