This article is elaboration a system of Chinese page categorization based on K-Nearest Neighbor(KNN) algorithm while is architecture and designs as well as realizes the process specifically. The system are divides into three modules, Chinese homepage downloading and filtration (Wangxun completion), KNN algorithm training and classification (Huangjian completion), and algorithm evaluation and integration of Chinese word segmentation system (Wuliang completion). I mainly is realizes what is algorithm evaluation and integration of Chinese word segmentation system. The Chinese word segmentation system is based on ACWPS that is will download after Chinese homepage filtration, and obtains the .txt document content carries on the participle. For it is providing for the KNN algorithm carries on the training and the classification. After the algorithm appraisal is the KNN algorithm, obtains the result carries on the analysis. Specific performance through the recall rate (r), poor-rate (p), m

分词源代码直接在内存中处理\6217.txt
..........................\6218.txt
..........................\6220.txt
..........................\Project1.cfg
..........................\Project1.dof
..........................\Project1.dpr
..........................\Project1.exe
..........................\Project1.res
..........................\Project1.rsm
..........................\Project1.~dpr
..........................\result.htm
..........................\test.txt
..........................\test1.txt
..........................\Unit1.dcu
..........................\Unit1.ddp
..........................\Unit1.dfm
..........................\Unit1.pas
..........................\Unit1.~ddp
..........................\Unit1.~dfm
..........................\Unit1.~pas
..........................\~$result.htm
..........................\新建 文本文档 (4).txt
..........................\新建 文本文档 (4).txt.txt
分词源代码直接在内存中处理

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