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Priyatham Sai Chand 2022-12-10 01:08:13 -08:00
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clustering-customer-personality-analysis(1).ipynb
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@ -2,80 +2,10 @@
"cells": [ "cells": [
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"source": [ "source": [
"# Section of the Notebook" "# Performing Psychographic Segmentation Based on Customer Behaviour"
]
},
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"source": [
"1) **Choice of Metrics** \n",
"2) **Library import & Dataset** \n",
"3.1) **Feature generation** \n",
"3.2) **Data cleaning** \n",
"3.3) **Data scaling (Normalization | Standardization)** \n",
"4) **Dimensionality reduction** \n",
"5) **Clustering** \n",
"6) **Business Recommendations** "
]
},
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"source": [
"## Selection of Metrics"
]
},
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"source": [
"There are various metrics for clustering, for example:\n",
"* Silhouette coefficient \n",
"* Calinski-Harabasz Index \n",
"* Davies-Bouldin Index"
] ]
}, },
{ {
@ -1589,7 +1519,7 @@
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@ -2469,23 +2399,6 @@
"graph_builder()" "graph_builder()"
] ]
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"source": [
"## 6) Business Recommendations"
]
},
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