<p>Euclidean distance was used as the distance metric for clustering, and hierarchical clustering was performed using Ward's method. The colored blocks show the four major groupings obtained by cutting the tree at a height of 2.0. Abbreviations: APH: aphasia, DLX:dyslexia, SLI: specific language impairment, DA: drug abuse, AD:Alzheimer's disease, DEP:depressive disorder, MDD:major depressive disorder, ANX:anxiety disorder, PAN: panic disorder, BPD: bipolar disorder, CD: conduct disorder, GAM: gambling, MD: mood disorder, PD: Parkinson's disease, OCD: obsessive compulsive disorder, PHO: phobia, EAT: eating disorder, SZ: schizophrenia, OBE: obesity, COC: cocaine related disorder, PSY: psychotic disorder, PAR: paranoid disorder, SZTY: schizoty...
The Y-axis shows the Ward’s distances at which the increase in within cluster variance remains minim...
<p>This figure depicts the results of the hierarchical clustering analysis of the functional connect...
<p>One hundred fifty-six diseases from the <i>Clinical</i> dataset were clustered using a distance m...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>All subjects included in the study have been arranged according to the similarity-dissimilarity o...
This article provides data for five different neuropsychiatric disorders—Attention Deficit Hyperacti...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
A dendrogram is a tree diagram which is used to illustrate the arrangement of clusters. Here, indivi...
<p>The frequency of each ICD-10 code is in parenthesis in percentage of the total population of pati...
(A) The heat map visually depicts the cytokine levels using colors (red = low, green = high) shown o...
Finding clusters in a complex dataset is not straightforward. Different indices were developed to qu...
Finding clusters in a complex dataset is not straightforward. Different indices were developed to qu...
<p>Subjects were classified using agglomerative hierarchical cluster analysis based on the main axes...
CAN = cancer; CHD = coronary heart disease; AD = Alzheimer’s disease; CVD = cerebrovascular disease;...
The Y-axis shows the Ward’s distances at which the increase in within cluster variance remains minim...
<p>This figure depicts the results of the hierarchical clustering analysis of the functional connect...
<p>One hundred fifty-six diseases from the <i>Clinical</i> dataset were clustered using a distance m...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>All subjects included in the study have been arranged according to the similarity-dissimilarity o...
This article provides data for five different neuropsychiatric disorders—Attention Deficit Hyperacti...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
A dendrogram is a tree diagram which is used to illustrate the arrangement of clusters. Here, indivi...
<p>The frequency of each ICD-10 code is in parenthesis in percentage of the total population of pati...
(A) The heat map visually depicts the cytokine levels using colors (red = low, green = high) shown o...
Finding clusters in a complex dataset is not straightforward. Different indices were developed to qu...
Finding clusters in a complex dataset is not straightforward. Different indices were developed to qu...
<p>Subjects were classified using agglomerative hierarchical cluster analysis based on the main axes...
CAN = cancer; CHD = coronary heart disease; AD = Alzheimer’s disease; CVD = cerebrovascular disease;...
The Y-axis shows the Ward’s distances at which the increase in within cluster variance remains minim...
<p>This figure depicts the results of the hierarchical clustering analysis of the functional connect...
<p>One hundred fifty-six diseases from the <i>Clinical</i> dataset were clustered using a distance m...