finalized 1.0.0
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4 changed files with 57 additions and 42 deletions
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@ -41,7 +41,7 @@ fn anomaly_info(cluster: &[i32]) -> Anomaly {
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/// that exceed a certain threshold. Each cluster or significant gap identified is summarized in a `Anomaly` object.
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///
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/// # Arguments
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/// * `dataset`: A slice of `Point` objects representing the dataset to be analyzed.
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/// * `dataset`: A slice of `i32` objects representing the dataset to be analyzed.
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/// * `factor`: A multiplier used to define the thresholds for clustering and gap identification.
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/// A lower factor tightens the cluster threshold and widens the gap threshold, and vice versa.
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/// * `min_cluster_size`: The minimum number of points required for a group of points to be considered a cluster.
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