搜索资源列表
k-means
- k means enjoy ^____^
K-means
- 初略介绍k-means，初学者可通过此文档认识什么是k-means算法-Slightly introduced at the beginning of k- means, beginners can pass this document to know what is k- means algorithm
K-SVD
- K均值，K-SVD算法，字典学习，英文版算法的翻译-K-means, K-SVD algorithm, dictionary learning algorithm in English translation
k-meansII
- this file is developed the k-means|| algorith to clustring big data
K-line-communication-description
- K-line communication descr iption
Zurell-K.-C-Programming-for-Embedded-Systems
- Zurell K. C Programming for Embedded Systems
3Answering-Top-k-Queries-Using-Views
- 数据库top-k查询排序文献，发表在vldb2006上，利用视图方法实现top-k查询，具有高效准确特点-Top-k query the to sort literature, published in the vldb2006, use view methods to achieve top-k queries, is an efficient and accurate Features
LOW-k
- low-k与cu做大规模芯片材料的优点，总结了一下，可以做报告-low-k and cu do large-scale chip material advantage, summed up what can be done reporting
Implementation-of-algorithm-of-k-means-on-cSharp.
- Implementation of algorithm of k-means on c#
K-means
- k-means 在hadoop mahout上的运作-the K-Means algorithm using on hadiio mahout
Detection-of-viruses-in-tomatoes-leaf-based-on-K-
- Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm
K-factor
- Transformer K Factor
K均值算法的基本简介
- 这是基本的K均值算法的原理以及简介！希望能帮助到大家
K-shortest-path-Papers
- 第k短路径研究论文，有经过中间节点情况，可以是固定顺序，也可以非固定-K-shortest path research papers, there are cases through intermediate nodes, which can be fixed sequence to be non-fixed
Study-shortest-point-K
- 使用蛙跳算法，对第k短路径问题进行研究，包含经过中间节点的情况，可以是固定顺序也可以不固定顺序。-Use leapfrog algorithm, k-shortest path problem studied, including the case through an intermediate node, which can be fixed to be the order of the order is not fixed.
randomized-dimensionality-reduction-for-k-means.r
- Randomized Dimensionality Reduction for k-means Clustering This paper makes further progress towards a better understanding of dimensionality reduction for kmeans clustering. Namely, we present the first provably accurate feature selection met
k-junzhi
- 通过对K-均值算法的编程实现，加强对该算法的理解和认识。提高自身的知识水平和编程能力，认识模式识别在生活中的应用。 算法思想K-均值算法的主要思想是先在需要分类的数据中寻找K组数据作为初始聚类中心，然后计算其他数据距离这三个聚类中心的距离，将数据归入与其距离最近的聚类中心，之后再对这K个聚类的数据计算均值，作为新的聚类中心，继续以上步骤，直到新的聚类中心与上一次的聚类中心值相等时结束算法。-By programming K- means algorithm implementation, s
Crowdsourcing-for-Top-K-Query-Processing
- Crowdsourcing for Top-K Query Processing over Uncertain Data
K-line-protocol-Chinese
- K线通信协议中文版，将协议中的重要部分用中文说明清楚。-K line communication protocol Chinese version
modified-k-epsilon-model
- UDF for modofied k epsilon turbulence model