VANDANA BHATTACHARJEE

Linear Regression with Closed form solutions

Linear Regression Example with Gradient descent

Linear Regression with Gradient descent

Probabilistic Hierarchical Clustering

ROCK RObust Clustering through linKs Clustering Categorical data

Davies Bouldin and Silhoutte Coefficient for Cluster Evaluation

BetaCV and Dunn Index Measures of Cluster Evaluation

Matching based External Measures of Cluster Evaluation

Introduction to External Measures of Cluster Evaluation

Clustering Evaluation – Basic concepts

DBSCAN A Density Based Clustering Algorithm

Density Reachability and Connectedness Explained

Density based clustering - Important definitions and parameters

K Medoids Clustering explained with example

Introduction to K Medoids Clustering

k Means Clustering Algorithm - A Centroid Based Technique

Cluster Analysis - Introduction to Partitional Clustering with an example

Mining Multilevel associations - The concept of flexible minimum support

Pattern Mining - Multilevel associations involve concepts at different abstraction levels

Frequent Pattern mining | Apriori Algorithm Explained with an example

Frequent Pattern mining | Example of Frequent itemset mining

Frequent Pattern mining | Support and Confidence

Frequent Pattern mining | Introduction

Cluster Analysis | Agglomerative clustering with AVERAGE LINK distance measure

Ward's method | Distance between clusters

Cluster Analysis | Agglomerative Hierarchical clustering

Cluster Analysis | Distance between clusters

Clustering methods | Aspects and types

Cluster Analysis | Introduction

Data Similarity | Proximity measures for Mixed Attributes