DBSCAN是一种性能优越的基于密度的空间聚类算法.利用基于密度的聚类概念,用户只需输入一个参数,DBSCAN算法就能够发现任意形状的类,并可以有效地处理噪声.-DBSCAN is a superior performance of space-based density clustering algorithm. The use of the concept of density-based clustering, the user can enter a parameter, DBSCAN algorithm to be able to find any type of shape, and can effectively deal with noise.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001514s ]
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:0.095199s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.001241s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001969s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001205s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.003700s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.001012s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.004988s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.026301s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001839s ]
UPDATE `jrk_articles` SET `hits` = 1 WHERE `id` = 154079 [ RunTime:0.001673s ]