Tag feed

#k-means-clustering

42 posts1 followers

When the Machine Finds Patterns You Didn't Tell It to Look For

This is Week 19 of my data science journey, the week I stopped telling the algorithm what to find and started letting it discover patterns on its own. If you've been following since Week 18, welcome b

9h ago13 min read

MKM Krunalkmeansalgo.hashnode.dev

📊 K-Means Clustering Algorithm

🧭 Table of Contents 🔍 Introduction to Clustering 🧠 What is K-Means Clustering? 💡 Why do we use K-Means? 📌 Key Concepts of K-Means 🎯 Objective of K-Means ⚙️ Step-by-Step Working of K-Means 🧪 Hands-on Example (Manual Calculation – 2D Data...

Feb 86 min read

JCJunyu Chenblog.vectorchord.ai

How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL

1. Introduction In the past few months, we’ve heard consistent feedback from users and partners: while our goal of providing a scalable, high-performance alternative to pgvector is well-received, index build time and memory usage remain major concern...

Dec 3, 202513 min read

UUplatzuplatz.hashnode.dev

🏷 AI Models Explained: Clustering Models (K-Means, DBSCAN)

📖 Clustering models are unsupervised learning algorithms that group similar data points together without needing labelled data.They’re widely used in market segmentation, anomaly detection, image analysis, and recommendation systems — helping AI unc...

Oct 15, 20252 min read

SKSaket Khopkarlearnaimldswithsk.hashnode.dev

Day 17: K-Means Clustering – Discovering Hidden Groups in Data

K-Means is one of the simplest and most popular clustering algorithms.It finds groups in your data, and every point belongs to one of these groups (called clusters). Before we dive into K-Means, let's first set the stage. In supervised learning, you ...

Aug 11, 20256 min read

PRPrecious Robertsimple-ml-hub.hashnode.dev

K-Means Doesn’t Learn — It Just Labels Without Thinking

Imagine walking into a party... You don’t know anyone. There are no name tags, No signs,No seating charts but somehow, you start noticing patterns: That group by the buffet is talking about tech. The ones near the speaker? All dancing. A bunch by the...

Aug 6, 20254 min read

ZAZaman Aliml-blogs.hashnode.dev

Mall Customer Segmentation Project

In this article, I explored a small project that introduced the basic concept of unsupervised learning, specifically focusing on K-Means Clustering. The main idea behind clustering is to divide a dataset into distinct groups or clusters, where each d...

Aug 1, 20252 min read

PTpriyanshu tiwarikmeans-session1.hashnode.dev

Kmeans

Clustering Grouping data into similar groups based on their features- without knowing the labels in advance. example 100 customer records (age, income, location) You want to group similar customers together → That’s clustering Application of clu...

Jul 29, 20255 min read

PTpriyanshu tiwarikmeans-session2.hashnode.dev

K means session 2

Silhouette Score Cohesion Definition:Cohesion measures how closely related or similar the data points within the same cluster are. Goal:We want points within a cluster to be as close together as possible — this means the cluster is compact and well-f...

Jul 29, 20253 min read

PTpriyanshu tiwarikmeanshyperparameter.hashnode.dev

K means session 3 hyperparameter

Hyper-parameters The hyper-parameters are from Scikit’s KMeans: class sklearn.cluster.KMeans(n_clusters=8, init='k-means++', n_init=10, max_iter=300, tol=0.0001, precompute_distances='auto', verbose=0, random_state=None, copy_x=True, n_jobs=None, alg...

Jul 29, 20257 min read

Search Hashnode