{% extends "base_analyze.html" %} {% set active_page = 'kmeans' %} {% block head %} {% endblock %} {% block title %}analyzer{% endblock %} {% block options %}
K-Means Clustering
Go to Hierarchical
K-Means Options
Advanced K-Means Options
Silhouette Score Options
{% endblock %} {% block results %} {% if session['kmeansdatagenerated'] %}
{{ session['kmeansdatagenerated'] }}
Silhouette Score: {{silhouettescore}} A silhouette score is a measure of fit for your clusters. It gives a general indication of how well individual objects lie within their cluster. The best possible value is 1 and the worst value is -1. Values near 0 indicate overlapping clusters. Negative values generally indicate that a sample has been assigned to the wrong cluster, as a different cluster is more similar.
K-Means
{% endif %} {% endblock %} {% block submit %}

{% endblock %}