积分充值
 首页
前端开发
AngularDartElectronFlutterHTML/CSSJavaScriptReactSvelteTypeScriptVue.js构建工具
后端开发
.NetC#C++C语言DenoffmpegGoIdrisJavaJuliaKotlinLeanMakefilenimNode.jsPascalPHPPythonRISC-VRubyRustSwiftUML其它语言区块链开发测试微服务敏捷开发架构设计汇编语言
数据库
Apache DorisApache HBaseCassandraClickHouseFirebirdGreenplumMongoDBMySQLPieCloudDBPostgreSQLRedisSQLSQLiteTiDBVitess数据库中间件数据库工具数据库设计
系统运维
AndroidDevOpshttpdJenkinsLinuxPrometheusTraefikZabbix存储网络与安全
云计算&大数据
Apache APISIXApache FlinkApache KarafApache KyuubiApache OzonedaprDockerHadoopHarborIstioKubernetesOpenShiftPandasrancherRocketMQServerlessService MeshVirtualBoxVMWare云原生CNCF机器学习边缘计算
综合其他
BlenderGIMPKiCadKritaWeblate产品与服务人工智能亿图数据可视化版本控制笔试面试
文库资料
前端
AngularAnt DesignBabelBootstrapChart.jsCSS3EchartsElectronHighchartsHTML/CSSHTML5JavaScriptJerryScriptJestReactSassTypeScriptVue前端工具小程序
后端
.NETApacheC/C++C#CMakeCrystalDartDenoDjangoDubboErlangFastifyFlaskGinGoGoFrameGuzzleIrisJavaJuliaLispLLVMLuaMatplotlibMicronautnimNode.jsPerlPHPPythonQtRPCRubyRustR语言ScalaShellVlangwasmYewZephirZig算法
移动端
AndroidAPP工具FlutterFramework7HarmonyHippyIoniciOSkotlinNativeObject-CPWAReactSwiftuni-appWeex
数据库
ApacheArangoDBCassandraClickHouseCouchDBCrateDBDB2DocumentDBDorisDragonflyDBEdgeDBetcdFirebirdGaussDBGraphGreenPlumHStreamDBHugeGraphimmudbIndexedDBInfluxDBIoTDBKey-ValueKitDBLevelDBM3DBMatrixOneMilvusMongoDBMySQLNavicatNebulaNewSQLNoSQLOceanBaseOpenTSDBOracleOrientDBPostgreSQLPrestoDBQuestDBRedisRocksDBSequoiaDBServerSkytableSQLSQLiteTiDBTiKVTimescaleDBYugabyteDB关系型数据库数据库数据库ORM数据库中间件数据库工具时序数据库
云计算&大数据
ActiveMQAerakiAgentAlluxioAntreaApacheApache APISIXAPISIXBFEBitBookKeeperChaosChoerodonCiliumCloudStackConsulDaprDataEaseDC/OSDockerDrillDruidElasticJobElasticSearchEnvoyErdaFlinkFluentGrafanaHadoopHarborHelmHudiInLongKafkaKnativeKongKubeCubeKubeEdgeKubeflowKubeOperatorKubernetesKubeSphereKubeVelaKumaKylinLibcloudLinkerdLonghornMeiliSearchMeshNacosNATSOKDOpenOpenEBSOpenKruiseOpenPitrixOpenSearchOpenStackOpenTracingOzonePaddlePaddlePolicyPulsarPyTorchRainbondRancherRediSearchScikit-learnServerlessShardingSphereShenYuSparkStormSupersetXuperChainZadig云原生CNCF人工智能区块链数据挖掘机器学习深度学习算法工程边缘计算
UI&美工&设计
BlenderKritaSketchUI设计
网络&系统&运维
AnsibleApacheAWKCeleryCephCI/CDCurveDevOpsGoCDHAProxyIstioJenkinsJumpServerLinuxMacNginxOpenRestyPrometheusServertraefikTrafficUnixWindowsZabbixZipkin安全防护系统内核网络运维监控
综合其它
文章资讯
 上传文档  发布文章  登录账户
IT文库
  • 综合
  • 文档
  • 文章

无数据

分类

全部后端开发(1381)Python(488)综合其他(437)Java(304)Weblate(302)Spring(251)云计算&大数据(240)数据库(219)C++(156)VirtualBox(113)

语言

全部英语(2006)中文(简体)(305)中文(繁体)(21)韩语(15)日语(13)法语(11)西班牙语(9)德语(8)俄语(8)英语(6)

格式

全部PDF文档 PDF(1799)其他文档 其他(599)DOC文档 DOC(4)PPT文档 PPT(4)
 
本次搜索耗时 0.041 秒,为您找到相关结果约 1000 个.
  • 全部
  • 后端开发
  • Python
  • 综合其他
  • Java
  • Weblate
  • Spring
  • 云计算&大数据
  • 数据库
  • C++
  • VirtualBox
  • 全部
  • 英语
  • 中文(简体)
  • 中文(繁体)
  • 韩语
  • 日语
  • 法语
  • 西班牙语
  • 德语
  • 俄语
  • 英语
  • 全部
  • PDF文档 PDF
  • 其他文档 其他
  • DOC文档 DOC
  • PPT文档 PPT
  • 默认排序
  • 最新排序
  • 页数排序
  • 大小排序
  • 全部时间
  • 最近一天
  • 最近一周
  • 最近一个月
  • 最近三个月
  • 最近半年
  • 最近一年
  • pdf文档 Experiment 6: K-Means

    Experiment 6: K-Means November 27, 2018 1 Description In this exercise, you will use K-means to compress an image by reducing the number of colors it contains. To begin, download data6.zip and unpack storing only the RGB values of the 16 colors present in the image. In this exercise, you will use K-means to reduce the color count to k = 16. That is, you will compute 16 colors as the cluster centroids run K-means on the 128×128 image bird small.tiff. Once you have computed the cluster centroids on the small image, you will then use the 16 colors to replace the pixels in the large image. 3 K-means in
    0 码力 | 3 页 | 605.46 KB | 1 年前
    3
  • pdf文档 Lecture 7: K-Means

    Lecture 7: K-Means Feng Li Shandong University fli@sdu.edu.cn December 28, 2021 Feng Li (SDU) K-Means December 28, 2021 1 / 46 Outline 1 Clustering 2 K-Means Method 3 K-Means Optimization Problem Problem 4 Kernel K-Means 5 Hierarchical Clustering Feng Li (SDU) K-Means December 28, 2021 2 / 46 Clustering Usually an unsupervised learning problem Given: N unlabeled examples {x1, · · · , xN}; no one that achieves: High within-cluster similarity Low inter-cluster similarity Feng Li (SDU) K-Means December 28, 2021 3 / 46 Similarity can be Subjective Clustering only looks at similarities, no
    0 码力 | 46 页 | 9.78 MB | 1 年前
    3
  • pdf文档 What Volatile Means (and Doesn't Mean)

    What Volatile Means (and Doesn't Mean) Copyright © 2024 by Ben Saks and Dan Saks 0-1 What Volatile Means (and Doesn’t Mean) by Ben Saks and Dan Saks September, 2024 1 Saks & Associates These notes USA +1-412-521-4117 (voice) service@saksandassociates.com saksandassociates.com 2What Volatile Means (and Doesn't Mean) Copyright © 2024 by Ben Saks and Dan Saks 0-2 Introduction  The volatilequalifier volatiledoes and doesn’t provide  Workarounds for compiler issues regarding volatile 8What Volatile Means (and Doesn't Mean) Copyright © 2024 by Ben Saks and Dan Saks 0-3 Why volatile is Necessary  Many
    0 码力 | 32 页 | 901.80 KB | 5 月前
    3
  • epub文档 BAETYL 1.0.0 Documentation

    as above, the running status of containers are as shown below. If some containers are missing, it means they failed to start. docker stats Under the condition of two above failures, you need to view the `text`, log print format, support `text` and `json`. age: max: The default value is `15`, means maximum number of days the log file is kept. size: max: The default value is `50`, log file unique in the service list image: [MUST] Service entry. In the docker container mode, which means the address of image. In the native process mode indicates where the service program package is located
    0 码力 | 135 页 | 15.44 MB | 1 年前
    3
  • pdf文档 BAETYL 1.0.0 Documentation

    as above, the running status of containers are as shown below. If some containers are missing, it means they failed to start. docker stats • Under the condition of two above failures, you need to view value is `text`, log print format, support `text` and `json`. age: max: The default value is `15`, means maximum number of days the log file is kept. size: max: The default value is `50`, log file size must be unique in the service list image: [MUST] Service entry. In the docker container mode, which means the ˓→address of image. In the native process mode indicates where the service program ˓→package
    0 码力 | 145 页 | 9.31 MB | 1 年前
    3
  • pdf文档 BAETYL 0.1.6 Documentation

    as above, the running status of containers are as shown below. If some containers are missing, it means they failed to start. docker stats • Under the condition of two above failures, you need to view value is `text`, log print format, support `text` and `json`. age: max: The default value is `15`, means maximum number of days the log file is kept. size: max: The default value is `50`, log file size must be unique in the service list image: [MUST] Service entry. In the docker container mode, which means the ˓→address of image. In the native process mode indicates where the service program ˓→package
    0 码力 | 120 页 | 7.27 MB | 1 年前
    3
  • epub文档 BAETYL 0.1.6 Documentation

    as above, the running status of containers are as shown below. If some containers are missing, it means they failed to start. docker stats Under the condition of two above failures, you need to view the `text`, log print format, support `text` and `json`. age: max: The default value is `15`, means maximum number of days the log file is kept. size: max: The default value is `50`, log file unique in the service list image: [MUST] Service entry. In the docker container mode, which means the address of image. In the native process mode indicates where the service program package is located
    0 码力 | 119 页 | 11.46 MB | 1 年前
    3
  • pdf文档 机器学习课程-温州大学-10机器学习-聚类

    1 2023年04月 机器学习-聚类 黄海广 副教授 2 本章目录 01 无监督学习概述 02 K-means聚类 03 密度聚类和层次聚类 04 聚类的评价指标 3 1.无监督学习概述 01 无监督学习概述 02 K-means聚类 03 密度聚类和层次聚类 04 聚类的评价指标 4 1.无监督学习方法概述 监督学习 在一个典型的监督学习中,训练集有标签 Recommender systems) ✓ 很多客户经常上网购物,根据他们的浏览商品的习惯,给他们推荐 什么商品呢? 主要的无监督学习方法 6 1.无监督学习方法概述 主要算法 K-means、密度聚类、层次聚类 聚类 主要应用 市场细分、文档聚类、图像分割、图像压缩、聚类分析、特征学习或者词 典学习、确定犯罪易发地区、保险欺诈检测、公共交通数据分析、IT资产 集群、客户细分 2.K-means聚类 01 无监督学习概述 02 K-means聚类 03 密度聚类和层次聚类 04 聚类的评价指标 13 聚类的背景知识--基本思想 图中的数据可以分成三个分开的点集(称为簇),一个能够分出这些点集的算 法,就被称为聚类算法。 聚类算法示例 2.K-means聚类 14 2.K-means聚类 K-均值算法(K-means)算法概述
    0 码力 | 48 页 | 2.59 MB | 1 年前
    3
  • pdf文档 Reference guide for Free Pascal, version 3.2.2

    syntax diagram means getting from the left side to the right side, following the arrows. When the right side of a syntax diagram is reached, and it ends with a single arrow, this means the syntax diagram that one of the possibilities can be empty: -- First possibility Second possibility - This means that both the first or second possibility are optional. Of course, all these elements can be combined constants such as maxint are not reserved words. They are identifiers, declared in the system unit. This means that these types can be redefined in other units. The programmer is however not encouraged to do this
    0 码力 | 268 页 | 700.37 KB | 1 年前
    3
  • pdf文档 Celery 3.1 Documentation

    unsuccessful polls. This value can be either an int or a float. By default the value is 1 second, which means that the worker will sleep for one second whenever there are no more messages to read. You should monitor support means that the transport does not implement events, and as such Flower, celery events, celerymon and other event-based monitoring tools will not work. Remote control means the ability to consume from several queues at once, and this is used to route messages to specific workers as a means for Quality of Service, separation of concerns, and emulating priorities, all described in the Routing
    0 码力 | 607 页 | 2.27 MB | 1 年前
    3
共 1000 条
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 100
前往
页
相关搜索词
ExperimentMeansLectureWhatVolatileandDoesnMeanBAETYL1.0Documentation0.1机器学习课程温州大学10聚类ReferenceguideforFreePascalversion3.2Celery3.1
IT文库
关于我们 文库协议 联系我们 意见反馈 免责声明
本站文档数据由用户上传或本站整理自互联网,不以营利为目的,供所有人免费下载和学习使用。如侵犯您的权益,请联系我们进行删除。
IT文库 ©1024 - 2025 | 站点地图
Powered By MOREDOC AI v3.3.0-beta.70
  • 关注我们的公众号【刻舟求荐】,给您不一样的精彩
    关注我们的公众号【刻舟求荐】,给您不一样的精彩