Asked By: Devin Diaz Date: created: Nov 08 2020

## What is K-means clustering in simple terms

Answered By: Aaron Sanchez Date: created: Nov 10 2020

K-means clustering is one of the simplest and popular unsupervised machine learning algorithms.

In other words, the K-means algorithm identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible..

Asked By: Alejandro Scott Date: created: Nov 20 2021

## How do you analyze clustering

Answered By: Jordan Price Date: created: Nov 20 2021

The hierarchical cluster analysis follows three basic steps: 1) calculate the distances, 2) link the clusters, and 3) choose a solution by selecting the right number of clusters. First, we have to select the variables upon which we base our clusters.

Asked By: Nathaniel Davis Date: created: Jan 18 2021

## What is cluster analysis used for

Answered By: Timothy Price Date: created: Jan 21 2021

Clustering is an unsupervised machine learning method of identifying and grouping similar data points in larger datasets without concern for the specific outcome. Clustering (sometimes called cluster analysis) is usually used to classify data into structures that are more easily understood and manipulated.

Asked By: Aidan Bailey Date: created: Jun 27 2021

## How many variables are required for clustering

Answered By: Howard Kelly Date: created: Jun 27 2021

The message from the hierarchical clustering procedure is a warning. Although you have 200 variables there might be strong correlation between certain variables. So it is a best practice to use variables which are less correlated to each other in order to perform cluster analysis.

Asked By: Walter Parker Date: created: Sep 04 2021

## How do you solve K means clustering examples

Answered By: Herbert Rivera Date: created: Sep 07 2021

K Means Numerical Example. The basic step of k-means clustering is simple. In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids.

Asked By: Gavin Hughes Date: created: Apr 21 2021

## What are the clustering techniques

Answered By: Henry Foster Date: created: Apr 21 2021

What are the types of Clustering Methods?Density-Based Clustering.DBSCAN (Density-Based Spatial Clustering of Applications with Noise)OPTICS (Ordering Points to Identify Clustering Structure)HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise)Hierarchical Clustering.Fuzzy Clustering.More items…•Dec 1, 2020

Asked By: Connor Wilson Date: created: Dec 22 2021

Answered By: Dylan Reed Date: created: Dec 25 2021

K-Means Clustering Advantages and Disadvantages. K-Means Advantages : 1) If variables are huge, then K-Means most of the times computationally faster than hierarchical clustering, if we keep k smalls. 2) K-Means produce tighter clusters than hierarchical clustering, especially if the clusters are globular.

Asked By: Jason Martinez Date: created: Oct 09 2020

## Why Clustering is important in real life

Answered By: Louis Williams Date: created: Oct 10 2020

Clustering algorithms are a powerful technique for machine learning on unsupervised data. … These two algorithms are incredibly powerful when applied to different machine learning problems. Both k-means and hierarchical clustering have been applied to different scenarios to help gain new insights into the problem.

Asked By: Leonars Peterson Date: created: Feb 24 2021

## Why K means clustering is used

Answered By: Oswald Lee Date: created: Feb 26 2021

The K-means clustering algorithm is used to find groups which have not been explicitly labeled in the data. This can be used to confirm business assumptions about what types of groups exist or to identify unknown groups in complex data sets.

Asked By: Dylan Perry Date: created: Jan 29 2022

## What is cluster algorithm

Answered By: Ashton Anderson Date: created: Jan 29 2022

Cluster analysis, or clustering, is an unsupervised machine learning task. It involves automatically discovering natural grouping in data. Unlike supervised learning (like predictive modeling), clustering algorithms only interpret the input data and find natural groups or clusters in feature space.

Asked By: Joseph Murphy Date: created: Sep 20 2021

## What is cluster analysis and its types

Answered By: Martin Ramirez Date: created: Sep 22 2021

Cluster analysis is the task of grouping a set of data points in such a way that they can be characterized by their relevancy to one another. … These types are Centroid Clustering, Density Clustering Distribution Clustering, and Connectivity Clustering.

Asked By: Carlos Kelly Date: created: Mar 21 2021

## What is cluster profiling

Answered By: Alan Peterson Date: created: Mar 23 2021

Profiling involves generating descriptions of the clusters with reference to the input variables you used for the cluster analysis. Profiling acts as a class descriptor for the clusters and will help you to ‘tell a story’ so that you can understand this information and use it across your business.

Asked By: Zachary Taylor Date: created: Dec 04 2021

## What happens in clustering

Answered By: Raymond Jenkins Date: created: Dec 05 2021

Overview. Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group than those in other groups. … And this is what we call clustering.

Asked By: Stanley Gonzalez Date: created: Apr 04 2021

## Is a cluster analysis qualitative or quantitative

Answered By: Chase Martinez Date: created: Apr 04 2021

Cluster analysis makes it possible to mix methods, by making use of a quantitative method to analyze data generated through qualitative research.

Asked By: Cameron Brown Date: created: Sep 02 2021

## How do you interpret a cluster dendrogram

Answered By: Charles Jenkins Date: created: Sep 03 2021

The key to interpreting a dendrogram is to focus on the height at which any two objects are joined together. In the example above, we can see that E and F are most similar, as the height of the link that joins them together is the smallest. The next two most similar objects are A and B.

Asked By: Francis Taylor Date: created: Feb 05 2021

## How do you select variables for K-means clustering

Answered By: Justin Ramirez Date: created: Feb 07 2021

To select variables, we applied VS-KM (variable-selection heuristic for K-means clustering) procedure (Brusco and Cradit, 2001). To identify outliers, we used a hybrid approach combining a clustering based approach and distance based approach.

Asked By: Colin Flores Date: created: Dec 24 2021

## How do you cluster variables

Answered By: Alfred Robinson Date: created: Dec 27 2021

Cluster variables uses a hierarchical procedure to form the clusters. Variables are grouped together that are similar (correlated) with each other. At each step, two clusters are joined, until just one cluster is formed at the final step.

Asked By: Richard Cooper Date: created: Nov 25 2021

## How is cluster analysis used to group variables

Answered By: David Brown Date: created: Nov 28 2021

Cluster analysis is a technique to group similar observations into a number of clusters based on the observed values of several variables for each individual. The group membership of a sample of observations is known upfront in the latter while it is not known for any observation in the former. …

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### Quick Answer: Is Discover Card Good For Credit?

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### Quick Answer: How Do Large Cruise Ships Stay Upright?

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### Quick Answer: How Long Does It Take To Get Discover Card?

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### Is Discover Card A Visa?

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### Question: Why Is Discover Card Not Accepted?

So in the United States, you shouldn't have trouble using a Discover card, as it's accepted nearly everywhere that takes credit cards.American Express, however, is accepted by only 6.9 million merchants in the United States.This is largely due to the higher fees the company charges merchants with each swipe. Why is my Discover card being declined? One of the most straightforward reasons your credit card could have been declined is because you've reached the credit limit on the card that was set by your card issuer and the company simply won't let you borrow any more money until you've made a payment. Are Discover cards good? Discover credit cards are not as widely accepted as leading competitors. It's one of the reasons we think that the Discover it® Cash Back is a great option as a supplemental credit card. Use it to earn the bonus rewards, but keep a more…

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### Quick Answer: Does Making Car Payments Improve Credit?

Adding to Your Credit Profile The main reason a car loan is a good way to build and improve your credit score is because, as you make payments on time, you begin to build a positive payment history.Payment history makes up 35 percent of your FICO credit score, which is the score most commonly used by lenders.30 May 2018 How long does it take for car payments to improve credit? How Long Does It Take to Improve Your Credit After … ? Type of Negative Info780 Credit Score680 Credit ScoreLate Mortgage Payment3 to 7 years9 monthsShort Sale7 years3 yearsForeclosure7 years3 yearsBankruptcy7 to 10 years5 years 7 Dec 2017 Will paying off auto loan increase credit score? And while paying off an installment loan early won't hurt your credit, keeping it open for the loan's full term and making all the payments on time is actually viewed positively by the scoring…

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### Does Discover Automatically Increase Credit Limit?

Reach a Discover Credit Analyst by Phone or Online To request an increase over the phone, call 1-800-347-2683.2.To do it online, log in to your account.Request a credit limit increase through Discover's online account center. How often does discover raise your credit limit? For the best chance of approval, Discover recommends that you wait at least 6 months before applying for another credit limit increase, but your credit limit is being constantly re-evaluated and could be increased at any time. Does Discover do a hard pull for credit limit increase? Small increases can be done without a hard pull, large increases require a hard pull. This is how the process works: Enter in the credit limit increase you want and all other relevant information. Discover will either give you the increase (in which case only a soft pull is done) or they will counter with another offer Why do credit…

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### What Is The Maximum Credit Limit On A Discover Card?

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### Can I Get A Discover Card With A 670 Credit Score?

Good to excellent credit Even though there isn't a specific minimum score for these cards, it helps quite a bit if yours is 670 or more.For having a high credit score, you'll be able to get Discover's most lucrative rewards rates and its longest 0% intro APR offers.Discover it® chrome. What kind of credit score do you need for Discover Card? There aren't any Discover cards that flat-out require excellent credit, currently. But we recommend a score of at least 700, which is toward the top of the good range, for the cards that require good credit for approval. So most Discover cards may be a tough get for the average person, who has a credit score of 669. Can I get a credit card with a 650 credit score? Even if your FICO credit score is only 650, you can still qualify for a credit card that charges no…

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### Question: Does Discover Student Credit Card Build Credit?

Build a credit history.With Discover® student credit cards, college students can learn good credit habits and set themselves on a path toward financial responsibility after graduation.And beyond that, students also earn cash back rewards, can view their FICO® Credit Score for Free3, and more - all with No Annual Fee! Do student credit cards build credit? Paying off a credit card each month is a great way to build credit, but college students may have trouble qualifying for a credit card. If you can find someone willing to cosign for your credit card, making small purchases with the card and paying them off every month could be a strategy to start building your credit. Is the Discover Student Credit Card good? Discover it® Student Cash Back: Benefits The card also offers an incentive for good grades. In addition to its \$0 annual fee, the card has no foreign transaction fees…

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### Quick Answer: What Does Your Credit Score Need To Be To Get A Discover Card?

There aren't any Discover cards that flat-out require excellent credit, currently.But we recommend a score of at least 700, which is toward the top of the good range, for the cards that require good credit for approval.So most Discover cards may be a tough get for the average person, who has a credit score of 669. Can I get a credit card with a 650 credit score? Even if your FICO credit score is only 650, you can still qualify for a credit card that charges no annual fee and comes with reasonable interest rates. What is the easiest credit card to get approved for? Easiest Credit Cards to Get Approved For Best ForCard NameAnnual FeeNo Min. Credit ScoreGreen Dot primor® Visa® Classic Secured Credit Card\$39No Credit CheckOpenSky® Secured Visa® Credit Card\$35Low Annual FeeFirst Progress Platinum Elite Mastercard® Secured Credit Card\$29No Annual FeeFingerhut Credit AccountNone2 more rows How do I…

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### Quick Answer: Is Discover A Good Card?

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### Question: How Quickly Can I Raise My Credit Score?

If you owe more than that amount, paying down your balances is a quick way to boost your score.Live lean for a few months, hold a garage sale or pick up a temporary second job to find the cash needed to drop your credit card balances. How can I raise my credit score in 30 days? Here's how to improve your credit score in 30 days: Pay down revolving balances to less than 30% Remove recent late payments. Remove a collection account. Raise your credit limits. Charge small amounts to inactive credit card. Get credit. How fast can I raise my credit score? Keep balances low on credit cards and other revolving credit: high outstanding debt can negatively affect a credit score. Pay off debt rather than moving it around: the most effective way to improve your credit scores in this area is by paying down your revolving (credit card)…

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### Question: Which FICO Score Do Home Lenders Use?

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### Question: Which Credit Score Do Home Lenders Use?

FICO® scores are the credit scores most lenders use to determine your credit risk and the interest rate you will be charged.You have three FICO® scores, one for each of the three credit bureaus – Experian, TransUnion and Equifax.Each score is based on information the credit bureau keeps on file about you. Which credit score do mortgage lenders look at? Mortgage lenders use the middle of three credit scores Mortgage lenders typically look at the credit scores issued by all three credit bureaus, and select the middle score as the one they'll base their loan decision on.21 Mar 2019 Which credit bureau is most used by mortgage lenders? While it's common knowledge that mortgage lenders use FICO scores, most people with a credit history have three FICO scores, one from each of the three national credit bureaus (Experian, Equifax, and TransUnion). What FICO scores do lenders use? Auto lenders, for…

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### Question: How Long After Chapter 7 Can I Get A Heloc?

When applying for a home equity loan or HELOC, you won't be able to do so right away.In some cases, you might be able to qualify for one of these loans three years after your bankruptcy is discharged, but, in general, it's more common to wait for five to six years to receive loan approval.26 Mar 2019 Can a home equity line of credit be discharged in Chapter 7? Home Equity Loans and Bankruptcy The short answer is no. A debtor can discharge the home equity loan in Chapter 7 bankruptcy but they cannot discharge it AND keep their home. But remember, in Chapter 13 bankruptcy, you will repay on all of your creditors, including credit cards.5 Mar 2019 How long after a foreclosure can I get a home equity loan? In general, you'll need to wait seven years after a foreclosure or short sale to get a conventional mortgage,…

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### Question: Can I Buy A House With A 651 Credit Score?

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### What Kind Of Credit Score Do You Need To Lease A Car?

You will have to pay a much higher rate if you are approved at all.BadCredit.org suggests that the typical minimum credit score to be approved for a lease is 620; the best rates are available for lessees with credit scores above 660. Can I lease a car with a 500 credit score? Auto Leasing with Bad Credit This is because there are some lending companies that will not look at a consumer if they have a score below 620. This means that you can lease a new car, even if you have a 500 credit score. Another option you can take is a lease to own vehicle, or sometimes called rent to own. Can I lease a car with 550 credit score? Credit Scores Below 550 Have a score of 550 or lower? You are generally out of luck unless you can bring your score up. Even if you do…