Module analytics 

Vector analytics and statistical analysis

This module provides comprehensive analytics and insights about vector data, including distribution analysis, similarity patterns, and quality metrics.

Features

• Distribution analysis: Mean, variance, skewness, kurtosis
• Similarity analysis: Pairwise similarity statistics
• Dimension analysis: Per-dimension statistics and importance
• Cluster tendency: Hopkins statistic, silhouette analysis
• Outlier detection: Statistical outlier identification
• Quality reports: Comprehensive data quality assessment

Example

use vecstore::analytics::{VectorAnalytics, AnalyticsConfig};

let config = AnalyticsConfig::default();
let analytics = VectorAnalytics::new(config);

// Analyze vectors
let vectors = vec![
    vec![1.0, 2.0, 3.0],
    vec![4.0, 5.0, 6.0],
    vec![7.0, 8.0, 9.0],
];

let report = analytics.analyze(&vectors)?;
println!("Mean magnitude: {:.3}", report.distribution.mean_magnitude);
println!("Variance: {:.3}", report.distribution.variance);

Structs

AnalyticsConfig

Analytics configuration

AnalyticsReport

Complete analytics report

ClusterTendency

Cluster tendency analysis

DimensionStats

Per-dimension statistics

DistributionStats

Distribution statistics

OutlierAnalysis

Outlier analysis

SimilarityStats

Similarity statistics

VectorAnalytics

Vector analytics engine