Convincing Features
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Clustering Data Mining techniques help in putting items together so that objects in the same cluster are more like those in other clusters. Clusters are formed by utilizing parameters like the shortest distances, the density of data points, graphs, and other statistical distributions. The technique allows data points to be grouped together based on their similarities, forming distinct clusters, essentially allowing you to identify patterns and relationships within a large dataset by organizing data into groups with shared characteristics. This analysis method in research is commonly based on statistical data analysis used in varied fields, including pattern recognition, machine learning, insights management in market research, data scrubbing, bioinformatics, and more.
Homestays are one of the most popular and profitable businesses in Malaysia.
Many travelers are interested in homestays rather than regular hotels due to
the amazing benefits a homestay offers. The simulated case shows simulated
homestay business based on a few selected criteria such as friendly
host/neighborhood, number of days stay, convenience and aesthetics. The
cluster and table simulated are shown below.
The new property business owner wasn’t sure to optimize the location as he
intends to lease a few acres of land and houses to start up homestay business.
He has collected data clusters and favorable ratings from previous homestay
guests as shown in Figure 1 and Table 1 above.
(a) From the data provided, design an appropriate graphical display. Comment
on the pattern observed.
| Friendly Neighbor/Host | Days Stay | Convenience | Aesthetic | |
|---|---|---|---|---|
| Location A | 5 | 4 | 1 | 2 |
| Location B | 4 | 3 | 2 | 2 |
| Location C | 7 | 3 | 5 | 1 |
| Location D | 6 | 3 | 5 | 2 |
| Location E | 6 | 4 | 6 | 3 |
| Location F | 6 | 3 | 5 | 2 |
Factor Grading
(b) From the list of 6 Locations, select 2 locations randomly. (K=2)
(c) Perform a simple version of market segmentation through Cluster Analysis.
Use K-Means cluster analysis with k=2
Hint: Use Euclidean distance to compute the distance between data points)
[50 Marks]
Predictive analysis is a comprehensive field that employs data analysis
techniques to project future trends and results based on historical data.
Regression analysis is a statistical method that concentrates on identifying the relationship between variables to predict the value of a dependent variable
using known independent variables. Essentially, regression is a key tool used to perform predictive analysis.
From the case above, the developer surveyed 30 respondents on the rental rate of homestay per day and evaluated the ratings of friendly host/neighbors,
convenience and aesthetics (scale of 1/lowest to 10/highest). Based on the
survey data, evaluate the following.
Data is posted on Flex learn.
a) Visualize the relationship for each independent variables with rental rate
homestay per day (using appropriate graphs).
[15 Marks]
b) Develop a regression model between rental rate with the associated
variables of favorable host/neighbors, convenience and aesthetic. Explain
the model.
[20 Marks]
c) Develop a precise management summary between the clustering and the
business opportunities of the rental rate.
[15 Marks]
