What is Clustering?Clustering kya hai?

🧸 Think of it likeAise samjho

Like tipping a box of mixed buttons on the table and grouping them by look, without anyone telling you the groups.Jaise mixed buttons ka dabba table pe ulat kar unhe dikhne ke hisaab se groups mein rakhna, bina kisi ke groups bataye.

📘 ExplainedVistaar se

Clustering is unsupervised learning: the algorithm finds natural groups in data, for example customer segments by behaviour. K means assigns each item to the nearest of K centres and moves the centres until stable. Results need human interpretation: the algorithm doesn't know what the groups mean.Clustering unsupervised learning hai: algorithm data mein natural groups dhoondhta hai, jaise behaviour ke hisaab se customer segments. K means har item ko K centres mein se sabse paas wale ko deta hai aur centres ko stable hone tak khiskaata hai. Results ko insaani samajh chahiye: algorithm nahi jaanta groups ka matlab kya hai.

💡 Real exampleAsli example

An online store discovers 'weekend bargain hunters' and 'premium regulars' groups.Online store 'weekend bargain hunters' aur 'premium regulars' groups dhoondhta hai.

📖 Learn it step by stepStep by step seekho

• How machines learn: features, labels and trainingMachines kaise seekhti hain: features, labels aur training

🔗 Related termsJude hue shabd

• Unsupervised learningFinding structure in data that has no labels, like groups or unusual items.Bina labels wale data mein structure dhoondhna, jaise groups ya ajeeb items.
• EmbeddingA list of numbers that captures the meaning of text, images or items, so similar meanings are close together.Numbers ki list jo text, images ya items ka matlab pakadti hai, taaki milte julte matlab paas paas hon.