Grouping Basketball Athletes

Requirements Clarification & Assessment

1. Objective:

   • Develop a clustering model to categorize basketball athletes based on their attributes, allowing for tailored practice sessions and improvement strategies.

2. Data Requirements:

   • Historical Player Data: Collect comprehensive data on players' attributes, including physical attributes (height, weight), performance metrics (shooting accuracy, defensive skills), and psychological traits (teamwork, leadership).
   • Data Sources: Utilize structured formats such as Excel or relational databases to store and manage data efficiently.

3. Attribute Selection:

   • Identify key features that significantly impact player performance and development, ensuring a holistic view of each athlete.

4. Stakeholder Engagement:

   • Collaborate with coaches, scouts, and team management to align on the attributes and objectives of the clustering model. Their insights will guide feature selection and validation processes.