hierarchical clustering

Python Programming Learning Circle

Sep 9, 2022 · Big Data

Four Advanced Data Visualization Techniques in Python: Heat Map, 2D Density Plot, Spider Plot, and Tree Diagram

This article introduces four advanced Python data‑visualization methods—heat map, 2D density plot, spider (radar) plot, and hierarchical tree diagram—explaining their concepts, practical use cases, and providing complete seaborn, matplotlib, and SciPy code examples for each.

Data VisualizationMatplotlibRadar Chart

0 likes · 10 min read

Four Advanced Data Visualization Techniques in Python: Heat Map, 2D Density Plot, Spider Plot, and Tree Diagram

Model Perspective

Aug 18, 2022 · Artificial Intelligence

Master SciPy Clustering: K‑Means and Hierarchical Methods with Python

This guide introduces SciPy's clustering modules, explaining the vector quantization and k‑means algorithm in scipy.cluster.vq, and demonstrates hierarchical clustering with scipy.cluster.hierarchy, accompanied by complete Python code examples and visualizations to help you apply these techniques to real data.

ClusteringPythonSciPy

0 likes · 4 min read

Master SciPy Clustering: K‑Means and Hierarchical Methods with Python

Model Perspective

Jun 4, 2022 · Artificial Intelligence

Master Systematic Clustering: From Distance Matrix to Multi-Level Groupings

Systematic clustering, a widely used hierarchical clustering technique, builds a dendrogram by iteratively merging the closest sample points based on a distance matrix, allowing analysts to visualize and select groupings at various distance thresholds, from a single cluster to each point as its own class.

Clusteringdata analysisdistance matrix

0 likes · 3 min read

Master Systematic Clustering: From Distance Matrix to Multi-Level Groupings

Xianyu Technology

Jun 4, 2020 · Artificial Intelligence

NBDT: Neural-Backed Decision Trees for Interpretable Image Classification

NBDT (Neural‑Backed Decision Trees) merges a pretrained CNN with a WordNet‑derived hierarchical tree, using the network’s final‑layer weights as class embeddings and a combined classification loss, to deliver state‑of‑the‑art image classification that remains interpretable through explicit hierarchical reasoning.

CNNExplainable Machine LearningNBDT

0 likes · 11 min read

NBDT: Neural-Backed Decision Trees for Interpretable Image Classification

NetEase Media Technology Team

Apr 4, 2019 · Artificial Intelligence

Video Recommendation System: Framework, Topic Clustering, and Related Video Retrieval

The paper proposes a video recommendation framework that combines recall and ranking modules, using a multi‑modal topic clustering approach—integrating audio, visual, and textual features via NeXtVLAD, PCA, and K‑Means—to generate unified video representations, improve candidate selection, and boost click‑through and viewing time, while addressing cold‑start and semantic relevance challenges.

A/B testingNeXtVLADVideo Recommendation

0 likes · 7 min read

Video Recommendation System: Framework, Topic Clustering, and Related Video Retrieval