How many clusters did hierarchical suggest How many clusters show the best segmentation on t SNE Cluster Plot What are the silhouette values for the hierarchical vs best t SNE Cluster Look at your descriptives for the cluster split and compare to descriptives for entire data set, create a description for the clusters by looking at the descriptives Hierarchical Clustering Hierarchical Clustering Clusters N R AIC BIC Silhouette 10 7032 0 912 1907 310 2113 050 0 350 Note The model is optimized with respect to the BIC value Note The optimum number of clusters is the maximum number of clusters You might want to adjust the range of optimization Cluster Information Cluster 1 2 3 4 5 6 7 8 9 10 Size 1031 456 600 1658 679 538 893 473 700 4 Explained proportion within cluster heterogeneity 0 087 0 071 0 032 0 301 0 105 0 100 0 154 0 030 0 120 6 467e 5 Within sum of squares 161 110 131 549 59 230 555 606 194 197 184 095 283 902 55 887 221 611 0 119 K Means Clustering K Means Clustering Clusters N R AIC BIC Silhouette 7 7032 0 897 2218 970 2362 990 0 430 Cluster Information Cluster 1 2 3 4 5 6 7 Size 1301 734 1021 923 1156 1069 828 Explained proportion within cluster heterogeneity 0 129 0 130 0 183 0 118 0 211 0 087 0 142 Within sum of squares 281 690 283 400 397 793 256 663 458 601 188 961 309 859 Silhouette score 0 446 0 354 0 328 0 336 0 482 0 557 0 487 Centroid tenure 1 007 1 064 0 015 0 832 1 283 0 868 0 878 Centroid MonthlyCharges 0 581 0 104 0 764 0 417 1 176 1 414 1 299 Centroid TotalCharges 0 723 0 737 0 260 0 725 1 816 0 899 0 404 t SNE Cluster Plot Descriptive Statistics Descriptive Statistics tenure MonthlyCharges TotalCharges 1 2 3 4 1 2 3 4 1 2 3 4 Valid 1906 1158 2273 1695 1906 1158 2273 1695 1906 1158 2273 1695 Missing 0 0 0 0 0 0 0 0 0 0 0 0 Mean 59 527 53 566 15 445 10 263 93 277 34 855 80 791 31 784 5546 567 1832 637 1252 817 303 578 Std Deviation 10 881 12 035 11 365 9 221 14 242 16 084 12 590 13 427 1344 339 873 929 954 084 291 072 Minimum 32 000 30 000 1 000 1 000 58 250 18 400 51 600 18 250 3122 400 617 650 61 150 18 800 Maximum 72 000 72 000 42 000 34 000 118 750 71 900 112 950 60 150 8684 800 4179 200 3520 750 1421 750 Results Hierarchical Clustering wical Cheng Chester N R AC BIC Sithouette 10 7012 0 912 1907310 2113050 0 350 Note The models acred with respect to the value Nose The aptimum number of clusters is the maximum number of clusters You might want to adjust the range of optimization 9 10 1 2 3 4 7 5 Cluster Information Clusto Size plined proportion within cuitor heterogeneity West 1031 0 087 161 110 456 0 071 131 549 600 0032 59 230 1650 0 301 555 606 679 0 105 194 197 538 0 100 184 095 893 0 154 283 902 473 0 030 55 887 700 0 120 221 611 6 457e 5 0 119 K Means Clustering K Mans Clustering N R AIC ESC Sthouette 4 0804 4167 990 4250 290 0470 Type here to search 6 6

The Answer is in the image, click to view ...

Question: How many clusters did hierarchical suggest? How many clusters show the best segmentation on t-SNE Cluster Plot? What are the silhouette values for the hierarchical

How many clusters did hierarchical suggest?

How many clusters show the best segmentation on t-SNE Cluster Plot?

What are the silhouette values for the hierarchical vs best t-SNE Cluster?

Look at your descriptives for the cluster split and compare to descriptives for entire data set, create a description for the clusters by looking at the descriptives

Hierarchical Clustering

Hierarchical Clustering
Clusters		N		R			AIC			BIC			Silhouette
10		7032		0.912			1907.310			2113.050			0.350

Note. The model is optimized with respect to the BIC value.
Note. The optimum number of clusters is the maximum number of clusters. You might want to adjust the range of optimization.
Cluster Information
Cluster	1		2		3	4		5	6		7	8		9	10
Size	1031		456		600	1658		679	538		893	473		700	4
Explained proportion within-cluster heterogeneity	0.087		0.071		0.032	0.301		0.105	0.100		0.154	0.030		0.120	6.467e-5
Within sum of squares	161.110		131.549		59.230	555.606		194.197	184.095		283.902	55.887		221.611	0.119

K-Means Clustering

K-Means Clustering
Clusters	N	R	AIC	BIC	Silhouette
7	7032	0.897	2218.970	2362.990	0.430

Cluster Information
Cluster	1	2	3	4	5	6	7
Size	1301	734	1021	923	1156	1069	828
Explained proportion within-cluster heterogeneity	0.129	0.130	0.183	0.118	0.211	0.087	0.142
Within sum of squares	281.690	283.400	397.793	256.663	458.601	188.961	309.859
Silhouette score	0.446	0.354	0.328	0.336	0.482	0.557	0.487
Centroid tenure	-1.007	1.064	0.015	-0.832	1.283	-0.868	0.878
Centroid MonthlyCharges	0.581	0.104	0.764	-0.417	1.176	-1.414	-1.299
Centroid TotalCharges	-0.723	0.737	0.260	-0.725	1.816	-0.899	-0.404

t-SNE Cluster Plot

Descriptive Statistics

Descriptive Statistics
	tenure				MonthlyCharges				TotalCharges
	1	2	3	4	1	2	3	4	1	2	3	4
Valid	1906	1158	2273	1695	1906	1158	2273	1695	1906	1158	2273	1695
Missing	0	0	0	0	0	0	0	0	0	0	0	0
Mean	59.527	53.566	15.445	10.263	93.277	34.855	80.791	31.784	5546.567	1832.637	1252.817	303.578
Std. Deviation	10.881	12.035	11.365	9.221	14.242	16.084	12.590	13.427	1344.339	873.929	954.084	291.072
Minimum	32.000	30.000	1.000	1.000	58.250	18.400	51.600	18.250	3122.400	617.650	61.150	18.800
Maximum	72.000	72.000	42.000	34.000	118.750	71.900	112.950	60.150	8684.800	4179.200	3520.750	1421.750

How many clusters did hierarchical suggest? How

Results Hierarchical Clustering wical Cheng Chester N R AC BIC Sithouette 10 7012 0.912 1907310 2113050 0.350 Note The models acred with respect to the value Nose The aptimum number of clusters is the maximum number of clusters. You might want to adjust the range of optimization 9 10 1 2 3 4 7 5 Cluster Information Clusto Size plined proportion within-cuitor heterogeneity West 1031 0.087 161.110 456 0.071 131 549 600 0032 59 230 1650 0.301 555 606 679 0.105 194 197 538 0.100 184 095 893 0.154 283.902 473 0.030 55 887 700 0 120 221 611 6.457e-5 0.119 K-Means Clustering K Mans Clustering N R AIC ESC Sthouette 4 0804 4167 990 4250 290 0470 Type here to search 6 6

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related General Management Questions!

from matplotlib.offsetbox import OffsetImage, AnnotationBbox np . random.seed ( 0 ) plt . figure ( figsize = ( 4 0 , 4 0 ) ) # Scatter plot to help with positioning images plt . scatter ( tsne _...

Exploratory Data Analysis Introduction This chapter will show you how to use visualisation and transformation to explore your data in a systematic way, a task that statisticians call exploratory data...

Jones & Bartlett Learning, LLC. NOT FOR RESALE OR DISTRIBUTION CHAPTER Hot Spot Analysis 10 LEARNING OBJECTIVES C A R R Provide a working definition of a \"hot spot.\" , Be able to explain different...

Factors encouraging cycle commuting in Scotland Big Data Fundamentals Coursework Daniel Devine CS982 Big Data Technologies Computer and Information Sciences University of Strathclyde, Glasgow 5th...

Describing Data Once we have collected data from surveys or experiments, we need to summarize and present the data in a way that will be meaningful to the reader. We will begin with graphical...

\fThis is an electronic version of the print textbook. Due to electronic rights restrictions, some third party content may be suppressed. Editorial review has deemed that any suppressed content does...

Please refer to information provided for The Fashion Channel on pg. 6 of the case. 1.) Please show how the relative contribution in percentage of TFCs two revenue streams to total revenue will change...

Course: Human Resources Management Project title: Reputation and Attraction Project assignment resources: Employer brand management I need a presentation with a ppt file, it would be great if it was...

Confirming Pages C H A P T E R 19 Analyzing Information and Writing Reports Chapter Outline Using Your Time Efficiently Analyzing Data and Information for Reports Identifying the Source of the Data...

A contribution income statement for the La Jolla Inn is shown below. (Ignore income taxes.) Revenue..............................................................................$1,500,000 Less:...

Consider the second-order linear differentia equation y" - y' - 2y = 0. (a) Verify that y = e2t is a solution; then check that y = e-1 is a solution as well. (b) Verify that y = Ae2t and y = e2t +...

Which type of data is not often attractive to malicious actors?DPersonally identifiable information ( PIl ) Intellectual property ( IP ) Credit and debit card dataTraining schedules

When older adults have difficulty with transportation and communication, or may be reluctant to request needed assistance to which they are entitled, they may be in need of: Group of answer choices...