在模式识别中，尤其需要对一些样本进行分类，聚类分析是常用的方法，本程序基于最小最大距离的聚类原则实现对样本的聚类-At pattern recognition, in particular a number of samples required for classification, clustering analysis is a commonly used method, the procedure based on the smallest maximum distance of the cluster principle implementation on sample clustering
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001072s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.073766s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001042s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001064s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.000979s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003091s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.000918s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.003585s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.013798s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001085s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 127905 [ RunTime:0.012266s ]
