Walmart Recruiting Store Sales Forecasting

In Walmart dataset for recruiting store sales. It shows that,

Clustering in Daily Life

• Biology: classification of plants and animals given their features;
• City-planning: identifying groups of houses according to their house type, value and geographical location;
• Earthquake studies: clustering observed earthquake epicenters to identify dangerous zones;
• Insurance: identifying groups of motor insurance policy holders with a high average claim cost; identifying frauds;
• Libraries: book ordering;
• Marketing: finding groups of customers with similar behavior given a large database of customer data containing their properties and past buying records;
• WWW: document classification; clustering weblog data to discover groups of similar access patterns
• Clustering helps marketers improve their customer base and work on the target areas. It helps group people (according to different criteria’s such as willingness, purchasing power etc.) based on their similarity in many ways related to the product under consideration.
• Clustering helps in identification of groups of houses on the basis of their value, type and geographical locations.
• Clustering is used to study earth-quake. Based on the areas hit by an earthquake in a region, clustering can help analyse the next probable location where earthquake can occur.