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b/man/knn.Rd |
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% Generated by roxygen2: do not edit by hand |
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% Please edit documentation in R/clustering.R |
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\name{knn_annoy} |
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\alias{knn_annoy} |
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\title{knn_annoy} |
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\usage{ |
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knn_annoy(data, query = data, k = 10, n_trees = 50, search_k = -1) |
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} |
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\arguments{ |
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\item{data}{data} |
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\item{query}{query data (Default: data)} |
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\item{k}{number of neighbors for kNN} |
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\item{n_trees}{Number of trees during index build time. More trees gives higher accuracy} |
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\item{search_k}{Number of nodes to inspect during the query, or -1 for default value. Higher number gives higher accuracy} |
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} |
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\description{ |
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knn engine employed by RcppAnnoy package, adapted from \code{BPCells} package. |
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} |
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\details{ |
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**knn_annoy**: Use RcppAnnoy as knn engine |
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} |