# Letter K
[*Return*](https://github.com/SyncedAI00/Artificial-Intelligence-Terminology/blob/master/README.md)
索引编号|英文术语|中文翻译|常用缩写|来源&扩展|备注
---|---|---|---|---|---
AITD-00925|K-Armed Bandit Problem|k-摇臂老虎机||[1]||
AITD-00926|K-Fold Cross Validation|k 折交叉验证|K-FOLD CV|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)|统计|
AITD-00927|K-Means Clustering|k-均值聚类| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)[[2]](https://www.jiqizhixin.com/articles/2017-11-11-3)| |
AITD-00928|K-Nearest Neighbor Classifier|k-近邻分类器||[1]||
AITD-00929|K-Nearest Neighbor Method|k-近邻|K-NN|[1]|统计|
AITD-00930|Karush-Kuhn-Tucker Condition|KKT条件||[1]||
AITD-00931|Karush–Kuhn–Tucker|Karush–Kuhn–Tucker||[1]||
AITD-00932|Kd Tree|Kd 树||[1]||
AITD-00933|Kernel Density Estimation|核密度估计||[1]||
AITD-00934|Kernel Function|核函数||[1]||
AITD-00935|Kernel Machine|核机器||[1]||
AITD-00936|Kernel Matrix|核矩阵||[1]||
AITD-00937|Kernel Method|核方法||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)|机器学习|
AITD-00938|Kernel Regression|核回归||[1]||
AITD-00939|Kernel Trick|核技巧||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)||
AITD-00940|Kernelized|核化||[1]||
AITD-00941|Kernelized Linear Discriminant Analysis|核线性判别分析|KLDA |[1]||
AITD-00942|Kernelized PCA|核主成分分析|KPCA|[1]||
AITD-00943|Key-Value Store|键-值数据库||[1]||
AITD-00944|KL Divergence|KL散度||[1]||
AITD-00945|Knowledge|知识||[1]||
AITD-00946|Knowledge Base|知识库||[[1]](https://www.jiqizhixin.com/articles/2017-12-21-10)||
AITD-00947|Knowledge Distillation|知识蒸馏||[1]||
AITD-00948|Knowledge Engineering|知识工程||[1]||
AITD-00949|Knowledge Graph|知识图谱||[[1]](https://www.jiqizhixin.com/articles/2017-11-03-5)[[2]](https://www.jiqizhixin.com/articles/2017-11-03-24)[[3]](https://www.jiqizhixin.com/articles/2017-09-26-8)||
AITD-00950|Knowledge Representation|知识表征||[1]||
AITD-00951|Kronecker Product|Kronecker积||[1]||
AITD-00952|Krylov Method|Krylov方法||[1]||
AITD-02319|K Clusters|K聚类| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)| |
AITD-02320|K Nearest Points|K 最近点| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)|统计|
AITD-02321|K-1 Folds|K-1 折| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)| |
AITD-02322|K-Edge (O-K Edge)|K-边缘（O-K 边缘）| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)| |
AITD-02323|K-Means|K-均值| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)|统计|
AITD-02324|Kendall’S Tau|肯德尔等级相关系数| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02325|Kernel Ridge Regression|核岭回归|KRR|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02326|Kernels|内核| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02327|Kinetic Curve|动力学曲线| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)| |
AITD-02328|KNN Model|K 近邻模型| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02329|Knowledge Extraction|知识提取| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02330|Knowledge Gradient|知识梯度|KG|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
