Beijing China-power Puhua Co., Ltd., Beijing, China;
data handling; indexing; learning (artificial intelligence); pattern classification; search problems; H-c2kNN; LSH-based inverted index scheme; MapReduce; RankReduce; data dimension; data-intensive applications; fast high-dimensional kNN search; k-nearest neighbors search; locality sensitive hashing; query object; real datasets; search algorithm; search efficiency; search quality; space cost; synthetic datasets; Algorithm design and analysis; Approximation algorithms; Clustering algorithms; File systems; Indexes; Query p;
机译:使用MapReduce对大型数据集进行有效的K最近邻图构造
机译:高维空间中近似K最近邻搜索的距离编码乘积量化
机译:高维中可能正确的k最近邻搜索
机译:高效的k-collect邻居使用MapReduce搜索高维度
机译:有效计算gpu群集上的大型高维数据集的k最近邻图。
机译:快速精确最近邻居法高维搜索使用K-均值聚类和三角不等式
机译:使用MapReduce进行大规模数据集的高效k - 最近邻图形结构